tag:blogger.com,1999:blog-31091113936308734072024-03-01T05:41:44.232+00:00OFBizianBilgin's open source software architecture journeysUnknownnoreply@blogger.comBlogger93125tag:blogger.com,1999:blog-3109111393630873407.post-54534412416375815032023-07-19T00:23:00.026+01:002024-02-21T10:24:19.569+00:00Top 20 Must-Read Software Trends Reports for 2023<div><span style="font-family: Arimo;">In the rapidly evolving software industry, keeping up with new trends, tools, and best practices can be time-consuming. With so much information available, where do you start, and what sources can you trust? I've curated a list of reports that I follow to stay informed and ahead of the curve. These provide insights into everything from programming languages to DevOps, cloud strategy, and security. If you're interested in the latest trends and fascinating posts I come across, </span><a href="https://twitter.com/bibryam" style="font-family: Arimo;" target="_blank">follow me</a> <span style="font-family: Arimo; white-space-collapse: preserve;">or c</span><span style="font-family: Arimo; white-space-collapse: preserve;">heck out my latest writing on industry trends over at the </span><a href="https://www.diagrid.io/blog" style="font-family: Arimo; white-space-collapse: preserve;" target="_blank">Diagrid blog</a><span style="font-family: Arimo; white-space-collapse: preserve;">. </span><span style="font-family: Arimo;">I share anything I find insightful and worth reading in the world of cloud and distributed systems. </span></div><div><span style="font-family: Arimo;"><br /></span></div><div><span style="font-family: Arimo;">Here are the top 20 reports for 2023 I came across so far:</span></div><div><span style="font-family: Arimo;"><br /></span><div><table border="1" cellpadding="0" cellspacing="0" dir="ltr" style="border-collapse: collapse; border: none; font-size: 10pt; table-layout: fixed; width: 0px;" xmlns="http://www.w3.org/1999/xhtml"><colgroup><col width="361"></col><col width="146"></col></colgroup><tbody><tr style="height: 21px;"><td data-sheets-value="{"1":2,"2":"Report link"}" style="border: 1px solid rgb(204, 204, 204); font-size: 11pt; font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Report</span></td><td data-sheets-value="{"1":2,"2":"Publisher"}" style="border: 1px solid rgb(204, 204, 204); font-size: 11pt; font-weight: bold; overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Publisher</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.tiobe.com/tiobe-index/" data-sheets-value="{"1":2,"2":"Programming Community Index for June 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.tiobe.com/tiobe-index/" target="_blank"><span style="color: black; font-family: Arimo;">Programming Community Index for June 2023</span></a></td><td data-sheets-value="{"1":2,"2":"TIOBE"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">TIOBE</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://redmonk.com/sogrady/2023/05/16/language-rankings-1-23/" data-sheets-value="{"1":2,"2":"Programming Language Rankings - January 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://redmonk.com/sogrady/2023/05/16/language-rankings-1-23/" target="_blank"><span style="color: black; font-family: Arimo;">Programming Language Rankings - January 2023</span></a></td><td data-sheets-value="{"1":2,"2":"RedMonk"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">RedMonk</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://survey.stackoverflow.co/2023/" data-sheets-value="{"1":2,"2":"Developer Survey 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://survey.stackoverflow.co/2023/" target="_blank"><span style="color: black; font-family: Arimo;">Developer Survey 2023</span></a></td><td data-sheets-value="{"1":2,"2":"Stack Overflow "}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Stack Overflow</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.infoq.com/articles/cloud-devops-trends-2023/" data-sheets-value="{"1":2,"2":"DevOps and Cloud Trends Report – July 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.infoq.com/articles/cloud-devops-trends-2023/" target="_blank"><span style="color: black; font-family: Arimo;">DevOps and Cloud Trends Report – July 2023</span></a></td><td data-sheets-value="{"1":2,"2":"InfoQ"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">InfoQ</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.infoq.com/podcasts/architecture-trends-report-2023/" data-sheets-value="{"1":2,"2":"Software Architecture & Design Trends 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.infoq.com/podcasts/architecture-trends-report-2023/" target="_blank"><span style="color: black; font-family: Arimo;">Software Architecture & Design Trends 2023</span></a></td><td data-sheets-value="{"1":2,"2":"InfoQ"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">InfoQ</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.postman.com/state-of-api/" data-sheets-value="{"1":2,"2":"State of the API Report 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.postman.com/state-of-api/" target="_blank"><span style="color: black; font-family: Arimo;">State of the API Report 2023</span></a></td><td data-sheets-value="{"1":2,"2":"Postman"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Postman</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.datadoghq.com/state-of-application-security/" data-sheets-value="{"1":2,"2":"State of Application Security Report 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.datadoghq.com/state-of-application-security/" target="_blank"><span style="color: black; font-family: Arimo;">State of Application Security Report 2023</span></a></td><td data-sheets-value="{"1":2,"2":"DataDog"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">DataDog</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.thoughtworks.com/radar/platforms/dapr" data-sheets-value="{"1":2,"2":"Technology Radar Vol 28"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.thoughtworks.com/radar/platforms/dapr" target="_blank"><span style="color: black; font-family: Arimo;">Technology Radar Vol 28</span></a></td><td data-sheets-value="{"1":2,"2":"Thoughtworks"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Thoughtworks</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://learning.oreilly.com/library/view/radar-trends-to/9781098156527/ch01.html" data-sheets-value="{"1":2,"2":"Radar Trends to Watch: June 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://learning.oreilly.com/library/view/radar-trends-to/9781098156527/ch01.html" target="_blank"><span style="color: black; font-family: Arimo;">Radar Trends to Watch: June 2023</span></a></td><td data-sheets-value="{"1":2,"2":"O'Reilly "}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">O'Reilly</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.hashicorp.com/state-of-the-cloud" data-sheets-value="{"1":2,"2":"State of Cloud Strategy Survey 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.hashicorp.com/state-of-the-cloud" target="_blank"><span style="color: black; font-family: Arimo;">State of Cloud Strategy Survey 2023</span></a></td><td data-sheets-value="{"1":2,"2":"HashiCorp "}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">HashiCorp</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.redhat.com/en/resources/state-kubernetes-security-report-2023" data-sheets-value="{"1":2,"2":"State of Kubernetes Security Report 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.redhat.com/en/resources/state-kubernetes-security-report-2023" target="_blank"><span style="color: black; font-family: Arimo;">State of Kubernetes Security Report 2023</span></a></td><td data-sheets-value="{"1":2,"2":"Red Hat"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Red Hat</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.puppet.com/resources/state-of-platform-engineering" data-sheets-value="{"1":2,"2":"The State of Platform Engineering Report"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.puppet.com/resources/state-of-platform-engineering" target="_blank"><span style="color: black; font-family: Arimo;">The State of Platform Engineering Report</span></a></td><td data-sheets-value="{"1":2,"2":"PuppetLabs"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">PuppetLabs</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://tanzu.vmware.com/content/ebooks/stateofkubernetes-2023" data-sheets-value="{"1":2,"2":"State of Kubernetes 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://tanzu.vmware.com/content/ebooks/stateofkubernetes-2023" target="_blank"><span style="color: black; font-family: Arimo;">State of Kubernetes 2023</span></a></td><td data-sheets-value="{"1":2,"2":"VmWare"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Vmware</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://deno.com/blog/state-of-edge-functions-2023" data-sheets-value="{"1":2,"2":"The State of Edge Functions 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://deno.com/blog/state-of-edge-functions-2023" target="_blank"><span style="color: black; font-family: Arimo;">The State of Edge Functions 2023</span></a></td><td data-sheets-value="{"1":2,"2":"Deno"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Deno</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://state-of-data.com/" data-sheets-value="{"1":2,"2":"State of Data 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://state-of-data.com/" target="_blank"><span style="color: black; font-family: Arimo;">State of Data 2023</span></a></td><td data-sheets-value="{"1":2,"2":"AirByte"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">AirByte</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.databricks.com/discover/state-of-data-ai" data-sheets-value="{"1":2,"2":"State of Data + AI 2023"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.databricks.com/discover/state-of-data-ai" target="_blank"><span style="color: black; font-family: Arimo;">State of Data + AI 2023</span></a></td><td data-sheets-value="{"1":2,"2":"Databricks"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Databricks</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://octoverse.github.com/" data-sheets-value="{"1":2,"2":"The State of Open Source Software 2022"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://octoverse.github.com/" target="_blank"><span style="color: black; font-family: Arimo;">The State of Open Source Software 2022</span></a></td><td data-sheets-value="{"1":2,"2":"Github"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Github</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://stateofapis.com/" data-sheets-value="{"1":2,"2":"State of APIs 2022"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://stateofapis.com/" target="_blank"><span style="color: black; font-family: Arimo;">State of APIs 2022</span></a></td><td data-sheets-value="{"1":2,"2":"RapidAPI"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">RapidAPI</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://www.cncf.io/reports/cncf-annual-survey-2022/" data-sheets-value="{"1":2,"2":"CNCF Annual Survey 2022"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://www.cncf.io/reports/cncf-annual-survey-2022/" target="_blank"><span style="color: black; font-family: Arimo;">CNCF Annual Survey 2022</span></a></td><td data-sheets-value="{"1":2,"2":"CNCF "}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">CNCF</span></td></tr><tr style="height: 21px;"><td data-sheets-hyperlink="https://cloud.google.com/blog/products/devops-sre/dora-2022-accelerate-state-of-devops-report-now-out" data-sheets-value="{"1":2,"2":"State of DevOps Report 2022"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; text-decoration-line: underline; vertical-align: bottom;"><a class="in-cell-link" href="https://cloud.google.com/blog/products/devops-sre/dora-2022-accelerate-state-of-devops-report-now-out" target="_blank"><span style="color: black; font-family: Arimo;">State of DevOps Report 2022</span></a></td><td data-sheets-value="{"1":2,"2":"Google"}" style="border: 1px solid rgb(204, 204, 204); overflow: hidden; padding: 2px 3px; vertical-align: bottom;"><span style="font-family: Arimo;">Google</span></td></tr></tbody></table><header style="-webkit-print-color-adjust: exact; box-sizing: border-box;"><div><span style="font-family: Arimo; white-space-collapse: preserve;"><br /></span></div><div><span style="font-family: Arimo; white-space-collapse: preserve;">While these reports offer valuable insights, it's important to keep in mind that they can be opinionated. The key to effectively leveraging these resources lies in cross-verifying trends from multiple sources and using them only as a guide for direction rather than absolute truths. </span></div><div><br /></div><div><span style="font-family: Arimo; white-space-collapse: preserve;">Are there any reports that should be on this list? Tag me on Twitter and I'll include them, subject to my checks </span><span style="font-family: Arimo; white-space-collapse: preserve;"> I'm always keen to explore new sources! </span><span style="font-family: Arimo;"><span style="white-space-collapse: preserve;">Found this list helpful? Go ahead, <a href="https://twitter.com/intent/tweet?text=Top%2020%20Must-Read%20Software%20Trends%20Reports%20by%20%40bibryam&url=https%3A%2F%2Fwww.ofbizian.com%2F2023%2F07%2Ftop-20-must-read-software-reports.html">Share it.</a></span></span></div><div><br /></div><div><span style="font-family: Arimo; white-space-collapse: preserve;"><b>Call to action: </b></span><span style="font-family: Arimo; white-space-collapse: preserve;">Are you a <a href="https://dapr.io/" target="_blank">Dapr</a> user? Your experience is valuable! Contribute your insights and shape the <a href="https://diagrid.ws/stateofdapr" target="_blank">State of Dapr Report.</a></span></div><div><br /></div><div><br /></div><div>Updates:</div><div><a href="https://stateofdb.com/" target="_blank">State of Database Survey by Basedash</a></div><div><a href="https://lakefs.io/blog/the-state-of-data-engineering-2023/" target="_blank">The State of Data Engineering 2023 by lakeFS</a></div><div><a href="https://www.datadoghq.com/state-of-serverless/" target="_blank">State of Serverless Report by DataDog</a></div><div><a href="https://www.linuxfoundation.org/research/ospo-2023" target="_blank">The 2023 State of OSPOs and OSS Initiatives</a></div><div><a href="https://cloud.google.com/blog/products/devops-sre/announcing-the-2023-state-of-devops-report">2023 State of DevOps Report: Culture is everything</a></div><div><a href="https://www.datadoghq.com/container-report/">Datadog’s container reports / Nov 2023</a></div><div><a href="https://retool.com/reports/state-of-ai-2023" target="_blank">State of AI report 2023</a></div><div><a href="https://github.blog/2023-11-08-the-state-of-open-source-and-ai/">Octoverse 2023</a></div><div><a href="https://www.stateofdeveloperrelations.com/2023devrelreport" target="_blank">State of DevRel 2023</a></div><div><a href="https://www.datadoghq.com/state-of-serverless/" target="_blank">State of Serverless by DataDog</a></div><div><br /></div><div><br /></div></header></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-39312666239312891742023-06-16T08:27:00.034+01:002023-06-16T12:51:05.532+01:00Life in First Principles<div style="text-align: left;"><span style="font-family: verdana;">Let's express life through its finite ingredients. There are three resources in life that everything else depends on. Every time you waste any of them, they're gone forever. These are time, energy, and focus.</span></div><h3 style="text-align: left;"><span style="font-family: verdana;">Time</span></h3><span style="font-family: verdana;">Time is the one variable that nobody has any control over. There are 24 hours in a day, 365 days in a year. Time offers the same equal consistency to everybody, but at different lengths. We are born, we live, and we die. All you can do is maximise the other variables </span><span style="font-family: verdana;">in the time given to you, </span><span style="font-family: verdana;">in a way meaningful to you</span><span style="font-family: verdana;">.</span><div><h3 style="text-align: left;"><span style="font-family: verdana;">Energy</span></h3><span style="font-family: verdana;">Being alive is a prerequisite, but not sufficient to reach happiness. Given a lifetime, to maximise your purpose and happiness, depends on your energy levels. Energy is the ability to do things, physically or mentally. Having a body sufficiently healthy that will enable you to pursue your purpose. For some, this can be a physically strong body, having a good sleep, healthy diet, and regular exercise. For others, it can be sufficient to be able to get up from the bed and hold a pen. And for some even the ability to express your thoughts through a computer device (such as Stephen Hawking). Energy levels vary from person to person, but so are the energy needs. Energy is not a "have or have not" constant like life is, it is rather a variable that tends that changes every moment, and tends to go down with age. Energy is the</span><span style="font-family: verdana;"> multiplier that lets you get the best out of the time given to you.</span></div><div><h3 style="text-align: left;"><span style="font-family: verdana;">Focus</span></h3><span style="font-family: verdana;">Being lucky to be alive, and having sufficient energy, gives the optionality to spend your attention in many ways. Focus is about how we use our time and energy in a directed way. It is the ability to concentrate our attention in a direction that makes us happy, or spread and waste in the universe in a way benefiting others or nobody.<br /><br /><br />Focus is the variable that we have most control over, and the variable that has the biggest power to change our life. Used in a purposeful way, even in short lifespan and limited energy levels, it has led to personal fulfilments, or human achievements that are remembered throughout millennials. Used purposelessly, can lead to wasted long life full of energy, and many regrets in a death bed.<br /></span><h3 style="text-align: left;"><span style="font-family: verdana;">The happiness formula</span></h3><span style="font-family: verdana;">If time is a yes/no constant, and the energy level is a multiplier for every moment, then focus is the exponent of all. Every moment, we are alive, we have a certain energy level that we can use for something purposeful or waste for nothing. Then we have recharge again. Every moment we have the ability to focus our energy to things that matter to us, or waste it aimlessly. Life happiness is the sum of all moments we had, with sufficient energy to help us focus on things that makes us happy.<br /><br /><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjBd0nArm1Q-paPx1ke8a7YoW0F1o4sTFcS5yj0oTYH0BH4tiH83mLeXtS2JXoErKw4s95dg4cXBohyzodesjP3b6x2MZTDxoWy6BJ1WSDSysW3XzjJlaEXl_sCfUteZ82YpcWSlrTHYjOR9x010XdAFf26Ucwk5cL_Keuagynr8xWoYc9LRy_mUmsdkA/s2324/life.png" style="margin-left: 1em; margin-right: 1em; text-align: center;"><img alt="The happiness formula" border="0" data-original-height="1274" data-original-width="2324" height="272" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjBd0nArm1Q-paPx1ke8a7YoW0F1o4sTFcS5yj0oTYH0BH4tiH83mLeXtS2JXoErKw4s95dg4cXBohyzodesjP3b6x2MZTDxoWy6BJ1WSDSysW3XzjJlaEXl_sCfUteZ82YpcWSlrTHYjOR9x010XdAFf26Ucwk5cL_Keuagynr8xWoYc9LRy_mUmsdkA/w496-h272/life.png" title="The happiness formula" width="496" /></a><br /></span><div style="text-align: center;"><i><span style="font-family: verdana;">Happiness is the sum of all finite moments where <br />we focus our energy towards our purpose</span></i></div><div style="text-align: center;"><br /></div><span style="font-family: verdana;">Every time we waste these finite resources, they're gone forever. Make sure you are alive first, healthy and energised second, and also focused on what makes you happy. These variables build on top of each other and require a delicate balance. Focus too much on one thing, and you may lose your life in an instant. Ignore your health, and your energy levels will suffer hindering the ability to focus. Do everything right, and still a meteor can hit you and end it all. There is no guarantee, or fairness in any of these, only the awareness of its working. This formula is re presentation of how these finite resources can be transformed into happiness in the equation called life.</span></div>Unknownnoreply@blogger.com1tag:blogger.com,1999:blog-3109111393630873407.post-80711719005738875702023-02-08T10:30:00.003+00:002023-02-08T10:30:45.005+00:00How does Knative project compare to Dapr?<h2 style="text-align: left;">How does Knative project compare to Dapr?</h2>Both <a href="https://dapr.io/" target="_blank">Dapr</a> and <a href="https://knative.dev/" target="_blank">Knative</a> projects help create and run cloud-native applications on Kubernetes, but differ in important aspects. I thought I'd quickly share where these projects overlap and complement each other from a user point of view. If you prefer, you can read this post as a twitter <a href="https://twitter.com/bibryam/status/1621561199946080257/" target="_blank">thread</a> too.<br /><br /><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhnLfIsXm9ay7yZGlnFj3a-mDNKQ7nEY-oX69ZNfd3zA3i3FE_YTYvjuGBeBfoj9kmqOB6PejYNOvdrqBwqxommGeGLMdJKE2bZNvuuKFdpTnEwrt7kVSacHeMnJQyvtGfErK_38XT1dqKu1oz2YVWN23MBxsRNILEAbks3ih6fLIKiA_k72-YdtLJdJg" style="margin-left: 1em; margin-right: 1em;"><img alt="Dapr vs Knative" data-original-height="1226" data-original-width="1934" height="254" src="https://blogger.googleusercontent.com/img/a/AVvXsEhnLfIsXm9ay7yZGlnFj3a-mDNKQ7nEY-oX69ZNfd3zA3i3FE_YTYvjuGBeBfoj9kmqOB6PejYNOvdrqBwqxommGeGLMdJKE2bZNvuuKFdpTnEwrt7kVSacHeMnJQyvtGfErK_38XT1dqKu1oz2YVWN23MBxsRNILEAbks3ih6fLIKiA_k72-YdtLJdJg=w400-h254" title="Dapr vs Knative" width="400" /></a></div><br /><div style="text-align: center;"><i>Dapr vs Knative</i></div><div><div style="text-align: center;"><span style="font-style: italic;"><br /></span></div>TLDR:<br />Knative extends Kubernetes with serverless containers (scaling to and from 0) and helps you connect applications declaratively. Dapr helps developers implement reliable connected distributed applications quickly. </div><div><h4>Community</h4>Knative originated from Google, whereas Dapr from Microsoft. Today both projects are incubating at CNCF. Both projects have growing communities and are within top 20 active CNCF projects (Dapr #10 and Knative #17)<div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhnUZdYnrhLtUGxIJVdA3Bv310YxpS11_GfzCO50O9xPbu1Nkk0PlJmrMyZTq9fm-lJ9Arb2pKeF3hGK6ufG7Jd1eYxbZcPjMJFsDaFuJlmg7ksOoMnDF9UvxAToN4Qu86w7CJdVeNtBskKr7E31M9L4PdgilfsgTS3a6gej5gKBdkPd6jaKpwQYWpLew" style="margin-left: 1em; margin-right: 1em;"><img alt="Knative vs Dapr community statistics" data-original-height="1410" data-original-width="2862" height="198" src="https://blogger.googleusercontent.com/img/a/AVvXsEhnUZdYnrhLtUGxIJVdA3Bv310YxpS11_GfzCO50O9xPbu1Nkk0PlJmrMyZTq9fm-lJ9Arb2pKeF3hGK6ufG7Jd1eYxbZcPjMJFsDaFuJlmg7ksOoMnDF9UvxAToN4Qu86w7CJdVeNtBskKr7E31M9L4PdgilfsgTS3a6gej5gKBdkPd6jaKpwQYWpLew=w400-h198" title="Knative vs Dapr community statistics" width="400" /></a></div><div style="font-style: italic; text-align: center;"><i>Community statistics</i></div><div style="font-style: italic; text-align: center;"><i><br /></i></div><div style="text-align: left;">See the full CNCF project statistics <a href="https://docs.google.com/spreadsheets/d/1NifFdE45BlscO6j7vlDspccQ-i9Ksgip6yx2bmhmCCs/edit#gid=0" target="_blank">here</a>.</div><div><h4 style="text-align: left;">Primary focus area</h4>➤Knative extends Kubernetes with serverless containers by taking care of runtine networking (sync/async), autoscaling (to/from zero), and app revision tracking.<div><br /></div><div>➤Dapr helps developers create reliable connected distributed applications quickly. It doesn’t manage the lifecycle of the application, instead it runs next to the applications.<br /><h4 style="text-align: left;">Target user</h4>➤Knative serving can be used by Ops to auto-scale and release apps (with traffic splitting). Knative eventing and functions can be used by devs to build, deploy apps, and connect external systems and event-driven containers. </div><div><br /></div><div>➤Dapr is toolkit designed primarily for developers. Developers use APIs & SDKs to interact with Dapr and offload responsibilities such as: pub/sub, state access, stateful service invocation, resiliency, etc. There are design time and runtime benefits for architects and operations teams respectively as described <a href="https://diagrid.io/blog/dapr-as-a-10x-platform" target="_blank">here</a>.</div><div><h3 style="text-align: left;">Supported platforms</h3>➤Knative runs only on top of Kubernetes and a network layer such as Kourier, Istio, Contour.</div><div><br /></div><div>➤Dapr can run on Kubernetes, as well as on-premises and edge devices (such as the <a href="https://twitter.com/daprdev/status/1529862546789785602" target="_blank">International Space Station</a>).</div><div><br /></div><div>For local dev, Knative requires Kubernetes, whereas Dapr can also run on Docker, or as a single binary only.</div><div><h4 style="text-align: left;">Deployment model</h4></div><div>Both projects have operator, helm chats, CLI that help with installation and operating the control planes on Kubernetes. </div><div><br /></div><div>➤On the data plane side, Dapr is a sidecar that gets injected into the application pod. The application interacts with Dapr over well-defined APIs...</div><div><br /></div><div>➤Knative dictates how the application is defined and run on Kubernetes by creating deployments, pods, configmaps, and networking configurations. It injects a transparent sidecar into every pod to measure network activity. And has an activator to hold off requests while scaling from zero.</div><div><h4 style="text-align: left;">Developer experience</h4></div><div>➤Knative uses Kubernetes CRDs for defining an app (called Knative Service) composed of container, configuration, revision. It also offers CRDs that can define how events (CloudEvents) flow between these services, subscribe to a broker. And functions-centric CLI.</div><div><br /></div><div>➤Dapr offers HTTP and gRPC APIs for Service invocation, Pub/Sub, State, Workflows, Bindings, Configuration, Secrets, Distributed lock, called building blocks. Devs use an HTTP/gRPC client, or SDKs for 8+ languages to interact with the above APIs.</div><div><h4 style="text-align: left;">Operational experience</h4></div><div>➤Knative serving helps Ops with releasing, auto-scaling, configuring services. Knative eventing with abstracting the broker. </div><div><br /></div><div>➤Dapr helps Ops with monitoring, securing, and increasing resiliency of services, as well as cloud infrastructure abstraction.<br /><h4 style="text-align: left;">Top features</h4></div><div>➤Knative Scale to 0 Autoscaling Traffic splitting App definition Pub/sub Connectors Function CLI</div><div><br /></div><div>➤Dapr Pub/sub Service-to-service interaction with resiliency, key/value access, Actors, Connectors, Security (mTLS, Auth), Config/Secrets, Workflows, Distributed Lock APIs.</div><div><h4 style="text-align: left;">Feature overlap</h4></div><div>The primary overlap is around pub/sub capabilities. Both projects offer async interactions between applications by abstracting the broker & using CloudEvents format. Both projects have connectors and ability to subscribe apps to the broker. </div><div><br /></div><div>➤Knative defines these w/ CRDs & over HTTP. </div><div><br /></div><div>➤Dapr supports HTTP/gRPC, using CRDs and code.<br /><h4 style="text-align: left;">Sweet spot</h4></div><div>➤Knative: autoscaling containers (to and from zero).</div><div>➤Dapr: event-driven and stateful service interactions.</div><div><br /></div><div>Upcoming hot feature: </div><div><br /></div><div>➤Knative: function development. </div><div>➤Dapr: workflows based orchestration.<br /><h4 style="text-align: left;">Summary</h4>Those are the key differences between Dapr and Knative I'm aware of. If you know other differences, share those on the twitter <a href="https://twitter.com/bibryam/status/1621561199946080257/" target="_blank">thread</a>. We <a href="https://twitter.com/diagridio" target="_blank">@diagridio</a> are actively working on both projects and exploring how they complement each other and integrate with the greater CNCF <a href="https://www.cncf.io/projects/" target="_blank">ecosystem</a>.</div></div></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-77451098376781373002023-01-20T08:33:00.005+00:002023-01-20T08:38:38.540+00:00Apache Kafka Landscape<div><h3><ul><li><span style="font-weight: normal;"><i>Active Apache Kafka projects list: <a href="https://bit.ly/kafkaland" target="_blank">https://bit.ly/kafkaland</a></i></span></li></ul><ul><li><span style="font-weight: normal;"><i>Self-service form to add a project: <a href="https://bit.ly/kafkaland-form" target="_blank">https://bit.ly/kafkaland-form</a></i></span></li></ul></h3></div>Before joining <a href="https://www.diagrid.io/blog" target="_blank">Diagrid</a> to work on the <a href="https://dapr.io/" target="_blank">Dapr</a> project, I was a product manager at Red Hat. At Red Hat, I had the opportunity to with with exceptional teams on projects such as Debezium, Data Virtualization, Apicurio, Apache Camel, and Strimzi, and helped build Red Hat's <a href="https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-streams-for-apache-kafka" target="_blank">Managed Kafka Service</a>. Kafka is more than just a fast message broker, it is a comprehensive ecosystem of various complementary management and development tools and managed services. Through my learning, <a href="https://developers.redhat.com/articles/2022/05/03/fine-tune-kafka-performance-kafka-optimization-theorem" target="_blank">writing</a>, and exploration of the vast <a href="http://www.ofbizian.com/2022/06/kafka-distributions-landscape.html" target="_blank">Apache Kafka Ecosystem</a>, I compiled a list of over 120 active Kafka projects I encountered. Here is a sneak peek some of these projects, with the full data set available in the provided <a href="https://bit.ly/kafkaland" target="_blank">spreadsheet</a>.<div><div><div><br /><a href="https://blogger.googleusercontent.com/img/a/AVvXsEijUhqVzR-DK__C71T24BUUCmS_1k9Nogj0kWgA7015JWDoCYfIEwafAXkcWQaGEEtmeQ5NT2kuUajbWwtoNdm6rwXuMwUt3jsEowqQ9rwZEcivPYe6TCTTBhX8BCOLwRusbhuyvsqq5dk6cbBu1oym_4ccwhnTHtcLEORnlypjoBifgSpVLwdpbGW7Nw"><img alt="Apache Kafka landscape projects" height="179" src="https://blogger.googleusercontent.com/img/a/AVvXsEijUhqVzR-DK__C71T24BUUCmS_1k9Nogj0kWgA7015JWDoCYfIEwafAXkcWQaGEEtmeQ5NT2kuUajbWwtoNdm6rwXuMwUt3jsEowqQ9rwZEcivPYe6TCTTBhX8BCOLwRusbhuyvsqq5dk6cbBu1oym_4ccwhnTHtcLEORnlypjoBifgSpVLwdpbGW7Nw=w400-h179" title="Apache Kafka landscape projects" width="400" /></a><br /><i>Apache Kafka landscape projects</i><br /><br />The projects are organized into main categories of the Kafka ecosystem, including Kafka distributions, stream processors, client libraries, connectors, schema registry, replicator, rest proxy, and management tools. Each project includes information on its license, programming language, and deployment types. Additionally, statistics such as GitHub stars or downloads are provided too, but it should be noted that these might have become outdated. A simple report generated from the list is available for reference.<br /><br /><a href="https://blogger.googleusercontent.com/img/a/AVvXsEjTTBoL1k56_eTkJjjO_lfyo-UrwsrcTa2wBIkLcfQbaxIxyJfSLUv4K_B2EzZrY-MyDmA82HIZyqHElKN8pLIM1vwoSGorYKD8mxVrkx_2rlYnJrgaQ3Z90loZwpuRMTV5zsAbWCqJ2XgEVVHdnEhJF4w6U4tOpBtbfdxZ3Me33-S6nsqlq5eHbUmR_A"><img alt="Apache Kafka project stats" height="139" src="https://blogger.googleusercontent.com/img/a/AVvXsEjTTBoL1k56_eTkJjjO_lfyo-UrwsrcTa2wBIkLcfQbaxIxyJfSLUv4K_B2EzZrY-MyDmA82HIZyqHElKN8pLIM1vwoSGorYKD8mxVrkx_2rlYnJrgaQ3Z90loZwpuRMTV5zsAbWCqJ2XgEVVHdnEhJF4w6U4tOpBtbfdxZ3Me33-S6nsqlq5eHbUmR_A=w400-h139" title="Apache Kafka project stats" width="400" /></a><br /><i>Apache Kafka project stats</i><br /><br />Discovering other active projects within the Apache Kafka ecosystem can be time-consuming. However, the data provided here is available for you to explore and use as you desire, saving you time and effort. If you wish to add any additional projects, tools, or services related to Apache Kafka, use the provided <a href=" https://bit.ly/kafkaland-form" target="_blank">self-service form</a>.</div><div><br />If you found this content useful, share and help spread this list to others in the Kafka universe. I hope to see you at <a href="https://www.kafka-summit.org/">Kafka Summit London</a> this year. If my talk is accepted 🤞, I will be discussing the topic of creating "Polyglot Microservices with Dapr and Kafka" in more detail.<br /></div></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-35378559974639578632023-01-03T10:53:00.006+00:002023-01-03T11:33:05.839+00:00Unbundling: The Natural Evolution of Tech Stacks<div class="separator">As the field of IT continually evolves, there is a constant stream of new software architectures, development techniques, and tools. Some examples of these include microservices, micro frontends, zero trust, service mesh, and data mesh, you mesh it. Despite the apparent diversity of these technologies and approaches, they are all connected by a common trend: the unbundling of technology stacks and teams. This trend involves breaking down systems into smaller, independent components and organizing work into smaller, more focused teams in order to achieve greater flexibility, and modularity.</div><div class="separator"><br /></div><div class="separator"><br /></div><table cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody><tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-vsvZ2T-tMh61fAY9zDd_3q55rtPRPqJa3vRkSO5i4DUzlaRnCH-2orSbbwJAJWrO74ltor9xiqqMkxa7rOtcPEHNDbulfXXyI3VX4MHPuJM0aRV9g6m_7bnvVt-H4wMpKO5XtyvFl0_FX9jR_d58dkCB2yCBFHXeJA_Qyz1-7Sk5RBvTHwDgP4w0fg/s2004/unbundling%20of%20the%20tech%20stack.png" style="clear: left; margin-bottom: 1em; margin-left: auto; margin-right: auto; text-align: center;"><img alt="The unbundling of the tech stack" border="0" data-original-height="1474" data-original-width="2004" height="294" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi-vsvZ2T-tMh61fAY9zDd_3q55rtPRPqJa3vRkSO5i4DUzlaRnCH-2orSbbwJAJWrO74ltor9xiqqMkxa7rOtcPEHNDbulfXXyI3VX4MHPuJM0aRV9g6m_7bnvVt-H4wMpKO5XtyvFl0_FX9jR_d58dkCB2yCBFHXeJA_Qyz1-7Sk5RBvTHwDgP4w0fg/w400-h294/unbundling%20of%20the%20tech%20stack.png" title="The unbundling of the tech stack" width="400" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;"><i>The unbundling of the tech stack</i></td></tr></tbody></table><br /><div><div style="text-align: center;"><br /></div><div>How come each of these represent unbundling?<br /><ul style="text-align: left;"><li><b>Microservices</b> emerged as a response to the limitations of monolithic architecture, which can be inflexible and difficult to scale and maintain as an application grows. By breaking a monolithic application into smaller, independent services, it becomes possible to develop, deploy, and scale each part of the application independently, leading to faster development cycles and greater flexibility.</li><li><b>Hexagonal</b> architecture was developed to improve the flexibility and maintainability of 3-tier applications by decoupling components and providing standardized interfaces for interacting with them.</li><li><b>Domain-driven design</b> (DDD) is a software development approach that can help break down a monolithic application into smaller, loosely-coupled modules that represent different business domains or contexts.</li><li><b>Micro frontends </b>architecture is a design approach in which a large, monolithic frontend application is broken down into smaller, independent modules that can be developed and deployed separately. </li><li><b>JAMstack</b> decouples the frontend and backend of an application by separating the HTML, CSS, and JavaScript that make up the user interface from the server-side code and databases that power the application, allowing easier maintenance as changes to one part of the system do not necessarily require changes to the other.</li><li><b>A service mesh</b> decouples the networking responsibilities of a distributed application, such as routing, load balancing, and service discovery, from the application itself, allowing developers to focus on building business logic and features without worrying about the underlying network infrastructure.</li><li>Similar to microservices, <b>data mesh</b> involves decomposing a large, complex system into smaller, independent components. It decomposes data governance and management practices into smaller, independent components that can be implemented and enforced consistently across different data sources and systems.</li><li><b>The 2 pizza team</b> model is a strategy for organizing teams and work in organizations that advocates for smaller teams able to respond to changes more quickly, have better communication and collaboration, can make faster decisions and solve problems more efficiently.</li></ul><div><div class="separator">The end result of every tech trend is unbundling. Unbundling of technology stacks into independent components and teams into smaller, more focused teams likely to spread into all other areas. After frontend, data, networking, security, what do you think is the next area of unbundling? <a href="https://www.diagrid.io/" target="_blank">Join me</a> in working on <a href="http://dapr.io/" target="_blank">Dapr</a> and unbundling integration. Also follow me at <a href="https://twitter.com/bibryam" target="_blank">@bibryam</a> and shout out with any thoughts and comments on the topic of <a href="https://twitter.com/bibryam/status/1610237692087779329" target="_blank">unbundling</a>.</div></div></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-42123801693183549302022-08-13T11:33:00.007+01:002022-08-14T08:00:02.158+01:00First Steps with Dapr<p></p><p></p><p style="text-align: left;">I recently <a href="https://twitter.com/bibryam/status/1542880600025141248" target="_blank">left Red Hat</a> to <a href="https://twitter.com/bibryam/status/1544364039630950400" target="_blank">join Diagrid</a> and work on the Dapr project. I <a href="https://www.youtube.com/watch?v=8age_72M_NE" target="_blank">spoke</a> about Dapr when it was initially announced by Microsoft, but hadn’t looked into it since it <a href="https://www.cncf.io/blog/2021/11/03/dapr-distributed-application-runtime-joins-cncf-incubator/" target="_blank">joined</a> CNCF. Two years later, during my onboarding into the new role, I spent some time looking into it and here are the steps I took in the journey and my impressions so far.</p><h3 style="text-align: left;">What is Dapr?</h3><div><span id="docs-internal-guid-c07ceba7-7fff-6a0b-edca-15ce54aa01c3">TL;DR: Dapr is a distributed systems toolkit in a box. It addresses the peripheral integration concerns of applications and lets developers focus on the business logic. If you are familiar with Apache Camel, Spring Framework in the Java world, or other distributed systems frameworks, you will find a lot of similarities with Dapr. Here are a few parallels with other frameworks:</span><div><br /><div style="text-align: left;"><ul style="margin-bottom: 0px; margin-top: 0px; padding-inline-start: 48px; text-align: left;"><li>Similar to Camel, Dapr has connectors (called <a href="https://docs.dapr.io/reference/components-reference/supported-bindings/" target="_blank">bindings</a>) that let you connect to various external systems.</li><li>Similar to HashiCorp Consul, Dapr offers <a href="https://docs.dapr.io/developing-applications/building-blocks/service-invocation/service-invocation-overview/" target="_blank">services discovery</a> which can be backed by Consul.</li><li>Similar to Spring Integration, Spring Cloud, (remember Netflix Hystrix?) and many other frameworks, Dapr has error handling capabilities with retries, timeouts, circuit breakers which are called <a href="https://docs.dapr.io/operations/resiliency/policies/" target="_blank">resiliency policies</a>.</li><li>Similar to Spring Data KeyValue, Dapr offers Key/Value-based state abstractions.</li><li>Similar to Kafka, Dapr offers pub/sub-based service interactions.</li><li>Similar to ActiveMQ clients, Dapr offers <a href="https://docs.dapr.io/developing-applications/building-blocks/pubsub/pubsub-deadletter/" target="_blank">DLQs</a>, but these are not specific to a messaging technology, which means they can be used even with things such as AWS SQS or Redis for example.</li><li>Similar to Spring Cloud Config, Dapr offers configuration and secret management</li><li>Similar to Zookeeper or Redis clients, Dapr offers <a href="https://docs.dapr.io/developing-applications/building-blocks/distributed-lock/distributed-lock-api-overview/" target="_blank">distributed locks</a></li><li>Similar to a Service Mesh, Dapr offers mTLS and <a href="https://docs.dapr.io/operations/security/api-token/" target="_blank">additional security</a> between your application and the sidecar.</li><li>Similar to Envoy, Dapr offers enhanced <a href="https://docs.dapr.io/concepts/observability-concept/" target="_blank">observability</a> through automatic metrics, tracing and log collection.</li></ul>The primary difference between all of these frameworks and Dapr is that the latter offers its capabilities not as a library within your application, but as a sidecar running next to your application. These capabilities are exposed behind well-defined HTTP and gRPC APIs (very creatively called <a href="https://docs.dapr.io/concepts/building-blocks-concept/" target="_blank">building blocks</a>) where the implementations (called <a href="https://docs.dapr.io/concepts/components-concept/" target="_blank">components</a>) can be swapped w/o affecting your application code.<br /><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: center;"><span style="font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><img height="321" src="https://lh5.googleusercontent.com/gKnaYU46KeNytjyd_-Py-zDh3wGJCYn3h1kmORXiBDMSRLh6TwjWyMTAQXXE1tbXa3Tt4OvEi02oquvqIGXZiY9yTjbQk1I0C0Qdw122NzvVyYF6MYIfrMcArnsa0wPAYElD6CjzFuWvY9v_PYaiGUY" style="margin-left: 0px; margin-top: 0px;" width="624" /></span></p><div style="text-align: center;"><br /></div><div style="text-align: center;"><i>High-level Dapr architecture</i></div><div style="text-align: center;"><br /></div><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">You could say, Dapr is a collection of stable APIs exposed through a sidecar and swappable implementations running somewhere else. It is the cloudnative incarnation of integration technologies that makes integration capabilities previously available only in a few languages, available to everybody, and portable everywhere: Kubernetes, on-premise, or literally <a href="https://twitter.com/daprdev/status/1529862546789785602" target="_blank">on the International Space Station</a> (I mean the edge).</p><h3></h3><h3>Getting started</h3><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">The project is surprisingly easy to get up and running regardless of your developer background and language of choice. I was able to follow the getting started guides and run various quickstarts in no time on my MacOS. Here are roughly the steps I followed.<br /></p><h4 style="text-align: left;"><span style="font-family: Arial; font-size: 16pt; white-space: pre-wrap;">Install Dapr CLI</span></h4><p></p><p>Dapr CLI is the main tool for performing Dapr-related tasks such as running an application with Dapr, seeing the logs, running Dapr dashboard, or deploying all to Kubernetes.<br /><br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">brew install dapr/tap/dapr-cli</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">With the CLI installed, we have a few different options for installing and running Dapr. I’ll start from the least demanding and flexible option and progress from there.<br /></p><h4 style="text-align: left;"><span style="font-family: Arial; font-size: 16pt; white-space: pre-wrap;">Option 1: Install Dapr without Docker</span></h4><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">This is the lightest but not the most useful way to run Dapr. <br /><br /><span style="color: #f8f8f2; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;">dapr init --slim</span></span></span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">In this <a href="https://docs.dapr.io/operations/hosting/self-hosted/self-hosted-no-docker/" target="_blank">slim mode</a> only <span style="font-family: courier;">daprd</span> and placement binaries are installed on the machine which is sufficient for running Dapr sidecars locally.</p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><b><br />Run a Dapr sidecar<br /><br /></b>The following command will start a Dapr sidecar called <span style="font-family: courier;">no-app</span> listening on HTTP port 3500 and a random gRPC port.</p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">dapr run --app-id no-app --dapr-http-port 3500</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">Congratulations, you have your first Dapr sidecar running. You can see the sidecar instance through this command:<br /><br /><span style="color: #f8f8f2; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;">dapr list</span></span></span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">or query its health status:<br /><br /><span style="color: #f8f8f2; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;">curl -i http://localhost:3500/v1.0/healthz</span></span></span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">Dapr sidecars are supposed to run next to an application and not on their own. Let’s stop this instance and run it with an application.<br /><br /><span style="color: #f8f8f2; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;">dapr stop --app-id no-app</span></span></span></p><b>Run a simple app with a Dapr sidecar</b></div><div style="text-align: left;"><br />For this demonstration we will use a simple NodeJS <a href="https://github.com/dapr/samples/tree/master/hello-dapr-slim" target="_blank">application</a>:<p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;"><span style="color: white; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;">git clone </span></span></span><a href="https://github.com/dapr/samples.git" style="background-color: white; text-decoration-line: none;"><span style="background-color: #272822; color: white; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; text-decoration-line: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;">https://github.com/dapr/samples.git</span></a></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="background-color: #272822; color: white; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">cd samples/hello-dapr-slim</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="background-color: #272822; color: white; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">npm install</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;">This is a Hello World the Dapr way and here is the gist of it:<br /><br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">app.post('/neworder', bodyParser.json(), (req, res) => { </span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">const data = req.body.data; </span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">const orderId = data.orderId; </span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">res.status(200).send("Got a new order! Order ID: " + orderId); </span><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;">});</span></p><br /><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">The application has one /<span style="font-family: courier;">neworder</span> endpoint listening on port 3000. We can run this application and the sidecar with the following command:<br /><br /><span style="color: #f8f8f2; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;">dapr run --app-id nodeapp --app-port 3000 --dapr-http-port 3500 node app.js</span></span></span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;">The command starts the NodeJS application on port 3000 and Dapr HTTP endpoint on 3500. Once you see in the logs that the app has started successfully, we can poke it. But rather than hitting the /<span style="font-family: courier;">neworder</span> endpoint directly on port 3000, we will instead interact with the application through the sidecar. We do that using Dapr CLI like this:<br /><br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">dapr invoke --verb POST --app-id nodeapp --method neworder --data '{"data": { "orderId": "41" } }'</span></p><p>And see the response from the app. If you noticed, the CLI only needs the <span style="font-family: courier;">app-id</span> (instead of host and port) to locate where the service is running. The CLI is just a handy way to interact with your service. It that seems like too much magic, we can use bare-bones curl command too: <br /><br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">curl -XPOST -d @sample.json -H "Content-Type:application/json" http://localhost:3500/v1.0/invoke/nodeapp/method/neworder</span></p><p>This command uses the service Dapr’s invocation API to synchronously interact with the application. Here is a visual representation of what just happened:</p><div class="separator" style="clear: both; text-align: center;"><span style="background-color: transparent; color: #222222; font-family: Arial; font-size: 11pt; font-variant-east-asian: normal; font-variant-numeric: normal; margin-left: 1em; margin-right: 1em; vertical-align: baseline; white-space: pre-wrap;"><img height="184" src="https://lh4.googleusercontent.com/1dE1aXQ1O03qAmnIiVm_3AmmwyvNN5WwXC9WjNkvWYvHgehHHEbwLcOHEtKh_dm-v6Ft5k2LJyyfccGrAf4c2Gw4bNhC92VdmmVfB_2mN4pSxjUfgMMySvpHHo8IIGwfwQhtcOAqIoiPG95pFgkchv4" style="font-family: Roboto, sans-serif; font-size: 16px; margin-left: 0px; margin-top: 0px; text-align: center;" width="494" /></span></div><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; text-align: left; vertical-align: baseline;"><i></i></span></p><div style="text-align: center;"><i><i>Invoking an endpoint through Dapr sidecar</i></i></div><div style="text-align: center;"><i><br /></i></div><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">Now, with Dapr on the request path, we get the Daprized service invocation benefits such as resiliency policies such as retries, timeouts, circuit breakers, concurrency control; observability enhancements such as: metrics, tracing, logs; security enhancements such as mTLS, <a href="https://docs.dapr.io/operations/configuration/invoke-allowlist/" target="_blank">allow lists</a>, etc. At this point, you can try out metadata, metrics endpoints, play with the <a href="https://docs.dapr.io/operations/configuration/configuration-overview/" target="_blank">configuration</a> options, or see your single microservice in Dapr dashboard.<br /><br /><span style="color: #f8f8f2; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;">dapr dashboard</span></span></span></p><p>The slim mode we are running on is good for the Hello World scenario, but not the best setup for local development purposes as it lacks state store, pub/sub, metric server, etc. Let’s stop the nodeapp using the command from earlier (or CTL +C), and remove the slim Dapr binary:<br /><br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">dapr uninstall</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">One thing to keep in mind is that this command will not remove the default configuration and component specification files usually located in: <span style="font-family: courier;">~/.dapr</span> folder. We didn’t create any files in the steps so far, but if you follow other tutorials and change those files, they will remain and get applied with every <span style="font-family: courier;">dapr run</span> command in the future (unless overridden). This caused me some confusion, keep it in mind.<br /></p><h4 style="text-align: left;"><span style="font-family: Arial; font-size: 16pt; white-space: pre-wrap;">Option 2: Install Dapr with Docker</span></h4><p></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;">This is the preferred way for running <a href="https://docs.dapr.io/getting-started/install-dapr-selfhost/" target="_blank">Dapr locally</a> for development purposes but it requires Docker. Let’s set it up:<br /><br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">dapr init</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">The command will download and run 3 containers<br /></p><ul style="text-align: left;"><li>Dapr placement container used with actors(I wish this was an optional feature)</li><li>Zipkin for collecting tracing information from our sidecars</li><li>And a single node Redis container used for state store, pub/sub, distributed-lock implementations.</li></ul>You can verify when these containers are running and you are ready to go.<br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">docker ps</span><h3 style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 4pt 0pt 12pt;">Run the Quickstarts</h3>My next step from here was to try out the <a href="https://docs.dapr.io/getting-started/quickstarts/" target="_blank">quickstarts</a> that demonstrate the building blocks for service invocation, pub/sub, state store, bindings, etc. The awesome thing about these quickstarts is that they demonstrate the same example in multiple ways:<ul style="text-align: left;"><li>With Dapr SDK and w/o any dependency to Dapr SDK i.e. using HTTP only.</li><li>In multiple languages: Java, Javascript, .Net, Go, Python, etc.</li></ul>You can mix and match different languages and interaction methods (SDK or native) for the same example which demonstrates Dapr’s polyglot nature.<br /><br /><span style="font-family: Arial; font-size: 16pt; white-space: pre-wrap;"><b>Option 3: Install Dapr on Kubernetes</b></span><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; padding: 0pt 0pt 12pt;">If you have come this far, you should have a good high-level understanding of what Dapr can do for you. The next step would be to deploy <a href="https://docs.dapr.io/operations/hosting/kubernetes/kubernetes-deploy/" target="_blank">Dapr on Kubernetes</a> where most of the Dapr functionalities are available and closest to a production deployment. For this purpose, I used minikube locally with default settings and no custom tuning.<br /><span style="background-color: #272822; color: #f8f8f2; font-family: "Courier New"; font-size: 10.5pt; white-space: pre-wrap;">dapr init --kubernetes --wait</span></p>If successful, this command will start the following pods in <span style="font-family: courier;">dapr-system</span> namespace:<ul style="text-align: left;"><li>dapr-operator: manages all components for state store, pub/sub, configuration, etc</li><li>dapr-sidecar-injector: injects dapr sidecars into <a href="https://docs.dapr.io/operations/hosting/kubernetes/kubernetes-overview/#adding-dapr-to-a-kubernetes-deployment" target="_blank">annotated</a> deployment pods</li><li>dapr-placement: required with actors only.</li><li>dapr-sentry: manages mTLS between services and acts as a certificate authority.</li><li>dapr-dashboard: a simple webapp to explore what is running within a Dapr cluster</li></ul><div>These Pods collectively represent the Dapr <a href="https://docs.dapr.io/concepts/dapr-services/" target="_blank">control plane</a>.</div><b><br />Injecting a sidecar<br /><br /></b><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline;">From here on, adding a Dapr sidecar to an application (this would be Dapr dataplane) is as easy as adding the following <a href="https://docs.dapr.io/reference/arguments-annotations-overview/" target="_blank">annotations</a> to your Kubernetes Deployments:<br /><br /><span style="color: white; font-family: Courier New;"><span style="background-color: #272822; font-size: 10.5pt; white-space: pre-wrap;"> annotations:</span></span></span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: #272822; color: white; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"> dapr.io/enabled: "true"</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: #272822; color: white; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"> dapr.io/app-id: "nodeapp"</span></p><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="background-color: #272822; color: white; font-family: "Courier New"; font-size: 10.5pt; font-variant-east-asian: normal; font-variant-numeric: normal; vertical-align: baseline; white-space: pre-wrap;"> dapr.io/app-port: "3000"</span></p><br /><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">The dapr-sidecar-injector service watches for new Pods with the <span style="font-family: courier;">dapr.io/enabled</span> annotation and injects a container with the <span style="font-family: courier;">daprd</span> process within the pod. It also adds <span style="font-family: courier;">DAPR_HTTP_PORT</span> and <span style="font-family: courier;">DAPR_GRPC_PORT</span> environment variables to your container so that it can easily communicate with Dapr without hard-coding Dapr port values.<br /><br />To deploy a complete application on Kubernetes I suggest this step-by-step <a href="https://github.com/dapr/quickstarts/tree/master/tutorials/hello-kubernetes" target="_blank">example</a>. It has a provider and consumer services and it worked the first time for me.</p><h3 style="text-align: left;">Transparent vs explicit proxy</h3></div><div>Notice Dapr sidecar injection is less intrusive than a typical service mesh with a transparent sidecar such as Istio’s Envoy. To inject a transparent proxy, typically the Pods also get injected with an init-container that runs at the start of the Pod and re-configures the Pods networking rules so that all ingress and egress traffic or your application container goes through the sidecar. With Dapr, that is not the case. There is a sidecar injected, but your application is in control of when and how to interact with Dapr over its well-defined explicit (non-transparent) APIs. Transparent service mesh proxies operate at lower network layers typically used by operations teams, whereas Dapr provides application layer primitives needed by developers. If you are interested in this topic, <a href="https://docs.dapr.io/concepts/service-mesh/" target="_blank">here</a> is a good explanation of the differences and overlaps of Dapr with services meshes.<br /></div><h3 style="text-align: left;">Summary</h3><div>And finally, here are some closing thoughts with what I so far liked more and what less from Dapr.</div><div><h4>Liked more</h4><ul style="text-align: left;"><li>I love the fact that Dapr is one of the few CNCF projects targeting developers creating applications, and not only operations team who are running these applications. We need more cloudnative tools for implementing applications.</li><li>I love the non-intrusive nature of Dapr where capabilities are exposed over clear APIs and not through some black magic. I prefer transparent actions for instrumentation, observability, and general application insight, but not for altering application behavior.</li><li>I loved the polyglot nature of Dapr offering its capabilities to all programming languages and runtimes. This is what attracted me to Kubernetes and cloudnative in the first place.</li><li>I loved how easy it is to get started with Dapr and the many permutations of each quickstart. There is something for everyone regardless of where you are coming from into Dapr.</li><li>I’m excited about WASM <a href="https://docs.dapr.io/reference/components-reference/supported-middleware/middleware-wasm/" target="_blank">modules</a> and remote components features coming into Dapr. These will open new surface areas for more contributions and integrations.</li></ul><h4 style="text-align: left;">Liked less</h4><ul style="text-align: left;"><li>I haven’t used actors before and it feels odd to have a specific programming model included in a generic distributed systems toolkit. Luckily you don’t have to use it if you don’t want to.</li><li>The documentation is organized, but too sparse into multiple short pages. Learning a topic will require navigating a lot of pages multiple times, and it is still hard to find what you are looking for.</li></ul><i>Follow me at <a href="https://twitter.com/bibryam" target="_blank">@bibryam</a> to join my journey of learning and using Dapr and shout out with any thoughts and comments.</i></div></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-58617538933358936362022-06-07T11:19:00.001+01:002022-06-07T11:21:38.903+01:00Kafka Distributions Landscape<p>One aspect of Apache Kafka that makes it superior to other event streaming projects is not its technical features and performance characteristics, but the ecosystem that surrounds it. The number of books, courses, conference talks, Kafka service providers, consultancies, independent professionals, third-party tools and developer libraries that make up the Kafka landscape is unmatched by competing projects. <br /></p><p style="text-align: left;">While this makes Kafka a de facto standard for event streaming and provides assurance that it will be around for a long time to come, at the same time, Kafka alone is just a cog in the wheel and does not solve business problems on its own. This raises the question of which Kafka distributions are best suited to our use cases and which ecosystem will enable the highest productivity for our development teams and organizational constraints. In this post, we will try to navigate the growing ecosystem of Kafka distributions and give you some thoughts on where the industry is heading.<br /></p><h2 style="text-align: left;">Kafka for Local Development<br /></h2><p style="text-align: left;">If you are new to Kafka, you may assume that all you need is a Kafka cluster, and you are done. While this statement might be correct for organizations with a low level of Kafka adoption where Kafka is a generic messaging infrastructure, it does not represent the picture in the organizations with a higher level of event-streaming adoption where Kafka is used heavily by multiple teams in multiple sophisticated scenarios. The latter group needs developer productivity tools that offer rapid feedback during development of event-driven applications, high levels of automation, and repeatability in lower environments, and depending on the business priorities a variety of hybrid deployment mechanisms from edge to multiple clouds in production. <br /><br />The very first thing a developer team working heavily with stream processing applications would want is being able to start a short-lived Kafka quickly on their laptop. That is true regardless if you practice test-driven development and mock all external dependencies, or a rapid prototyping technique. As a developer, I want to quickly validate that my application is wiring up and functioning properly with an in-memory database or messaging system. Then I want to be able to do repeatable integration testing with a real Kafka broker. Having this rapid feedback cycle enables developers to iterate and deliver features faster and adapt to changing requirements. The good news is that there are a few projects addressing this need. The ones that I’m most familiar with are <a href="https://quarkus.io/guides/kafka">Quarkus extension for Kafka</a> and <a href="https://docs.spring.io/spring-kafka/api/org/springframework/kafka/test/context/EmbeddedKafka.html">EmbeddedKafka</a> from Spring in the Java ecosystem. The easiest way to unit test Kafka applications is with smallrye-messaging that replaces the channel implementation with <a href="https://smallrye.io/smallrye-reactive-messaging/smallrye-reactive-messaging/3.3/testing/testing.html">in-memory connections</a>. This has nothing to do with Kafka, but shows how using the right streaming abstraction libraries can help you unit test applications rapidly. Another option is to start an in-memory Kafka cluster in the same process as the test resource through <a href="https://github.com/apache/kafka/blob/trunk/streams/src/test/java/org/apache/kafka/streams/integration/utils/EmbeddedKafkaCluster.java">EmbeddedKafkaCluster</a> to use that for a quick integration test. If you want to start a real Kafka broker as a separate process as part of the resource, Quarkus can do that through Dev Services for Kafka. With this mechanism, Quarkus will start a Kafka cluster in less than a second using containers. This mechanism can validate Kafka-specific aspects of your application and ensure it is working as expected on the local machine. The cool thing about Dev Services is that it can also start a schema registry (such as <a href="https://www.apicur.io/">Apicurio</a>), relational databases, caches, and many other 3rd party service dependencies. Once you are done with the “inner-loop” development step, you want to commit your application to a source control system and run some integration tests on the central build system. You can use <a href="https://www.testcontainers.org/modules/kafka/">Test Containers</a> to start a Kafka broker from a Java DSL (or <a href="https://github.com/edenhill/librdkafka/blob/master/src/rdkafka_mock.h">librdkafka mock</a> for C), and allow you to pick specific Kafka distributions and versions. If your application passes all the gates, it is ready for deployment into a shared environment with other services where a continuously running Kafka cluster is needed. <br /><br />In this post, we are focusing only on the Kafka broker distributions and not the complete Kafka ecosystem of tools and additional components. There are other monitoring and management tools, and services that help developers and operations teams with their daily activities which we leave for another post.<br />Self-managed Kafka<br /><br />Since our application has not reached production or a performance testing environment that requires production-like characteristics, all we want is to have a Kafka installation that is reliable enough for various teams to integrate and run some tests without involving a lot of effort to manage. Another characteristic of such an environment is to be low cost without the cost overhead of data replication and multi-AZ deployment. Many organizations have Kubernetes environments where each development team has their isolated namespace and shared namespaces for CI/CD purposes with all the shared dependencies deployed. <a href="https://strimzi.io/">Strimzi</a> project - origicnally created by Red Hat has everything needed to automate and operate a Kafka cluster on Kubernetes for development and production purposes. The advantage of using Strimzi for the lower environments is that it can be managed through a declarative Kubernetes API which is used by developers to manage the applications they develop and other 3’rd party dependencies. This allows developers to use the same Kubernetes infrastructure to quickly create a Kafka cluster for individual or team uses, a temporary project cluster, or a longer living shared cluster, repeatedly through automation pipelines and processes w/o going to depend on other teams for approval and provisioning of new services.</p><p style="text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjS50LKozbV9E8kv9ll-82bWUC_cdsONwFXJdxyCylCQszYYYA1Kei7vx9N9EjL634VhOLLREbgSEFE1yHwbiGaCJN_fb2-EOgK3WayP6cIiljkd-GLgu-gDTTFiO2C6ipHphsl-DLvDNdsxXypb6hpdJrSdkgodVTG4DghzUwDmJh42MRn8mqJGczxSw/s3070/kafka-distros.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1228" data-original-width="3070" height="256" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjS50LKozbV9E8kv9ll-82bWUC_cdsONwFXJdxyCylCQszYYYA1Kei7vx9N9EjL634VhOLLREbgSEFE1yHwbiGaCJN_fb2-EOgK3WayP6cIiljkd-GLgu-gDTTFiO2C6ipHphsl-DLvDNdsxXypb6hpdJrSdkgodVTG4DghzUwDmJh42MRn8mqJGczxSw/w640-h256/kafka-distros.png" width="640" /></a><br /><i>List of Apache Kafka distributions and use cases</i><br /><br />Self-managed Kafka clusters are not used only for development purposes, but for production too. Once you get closer to a production environment, the characteristics required from the Kafka deployment change drastically. You want to be able to provision production-like Kafka clusters for application performance testing and DR testing scenarios. A production environment is not usually a single Kafka cluster either, it can be <a href="https://developers.redhat.com/articles/2022/02/07/which-better-one-kafka-cluster-or-many#benefits_of_multiple_kafka_clusters">multiple clusters</a> optimized for different purposes. You may want a self-managed Kafka cluster to deploy on your edge clusters that run offline, on-premise infrastructure that may require a non-standard topology or public cloud with a fairly standard multi-AZ deployment. And there are many self-managed Kafka platforms from Red Hat, Confluent, Cloudera, TIBCO, to name a few. The main characteristic of a self-managed cluster is the fact that the responsibility to manage and run the Kafka cluster resides within the organization owning the cluster. With that, a self-managed cluster also allows customization and configuration of the Kafka cluster, bespoke tuning to suit your deployment needs. For these and any other odd use cases that are not possible with <a href="https://red.ht/TryKafka">Kafka as a Service</a> model, the self-managed Kafka remains a proven path.<br /></p><h2 style="text-align: left;">Kafka as a Service</h2><p style="text-align: left;">Each organization is different, but some of the common criteria for production Kafka clusters are things such as the ability to deploy on multiple AZs, on-demand scaling, compliance and certifications, a predictable cost model, open for 3rd party tools and services integrations, and so forth. Today, Kafka is over a decade old and there are multiple mature Kafka as a Service offerings able to satisfy many production needs. While these offerings vary in sizing options, the richness of the user interface, Kafka ecosystem components, and so forth, a key difference is whether Kafka is treated as an infrastructure component or treated as its own event-streaming category with its event-streaming abstractions.<br /><br /><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9z-pGc-ejr90h859K0Ffamu8Q5tlp3MYvraCtk0cpynXu33hPJuInwv_LDCNMaWp5Qvxdte1otbXW6pe1J3G1AHg4Vf3zyg5sanmwHQUKTI5m0WInfw7w-NQMBEbR7nyuhMAA7eR_Cka6HRaDTdp_sRpt29DdA4-l2JUaARPzNc4ilhcM7cGqAqbrzA/s1440/kafka-landscape.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="1144" data-original-width="1440" height="508" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg9z-pGc-ejr90h859K0Ffamu8Q5tlp3MYvraCtk0cpynXu33hPJuInwv_LDCNMaWp5Qvxdte1otbXW6pe1J3G1AHg4Vf3zyg5sanmwHQUKTI5m0WInfw7w-NQMBEbR7nyuhMAA7eR_Cka6HRaDTdp_sRpt29DdA4-l2JUaARPzNc4ilhcM7cGqAqbrzA/w640-h508/kafka-landscape.png" width="640" /></a><br /><i>Apache Kafka distributions landscape</i><br /><br />Based on the abstraction criteria we can see that some SaaS providers (such as AWS MSK, Heroku, Instaclustr, Aiven) focus on infrastructure details such as VM sizes, the number of cores and memory, storage types, broker, Zookeeper, Kafka Connect details, and so forth. Many critical decisions about the infra choice, capacity matching to Kafka, Kafka cluster configurations, Zookeeper topology, are left for the user to decide. These services resemble infrastructure services that happen to run Kafka on top, and that is reflected in the VM-based sizing and pricing models. These services have a larger selection of sizing options and can be preferred by teams that have infrastructure inclination and preference to know and control all aspects of a service (even a managed service).<br /><br />Other Kafka as a Service providers (such as Confluent Cloud, AWS MSK Serverless, Red Hat Openshift Streams for Apache Kafka, Upstash) go the opposite “Kafka-first” direction where the infra, the management layer (typically Kubernetes based), and Kafka cluster details are taken care of, and hidden. With these services, the user is dealing with higher level, Kafka-focused abstractions such as Streaming/Kafka/Topic-like units of measure (which represents normalized multi-dimensional Kafka capacity) rather than infrastructure capacity; availability guarantees instead of deployment topology of brokers and Zookeeper; connectors to external systems as an API (regardless of the implementation technology) instead of Kafka Connect cluster deployment and connector deployments. This approach exposes what is important for a Kafka user and not the underlying infrastructure or implementation choices that make up a Kafka service. In addition, these Kafka-first services offer a consumption based Kafka-centric pricing model where the user pays for Kafka capacity used and quality of service rather than provisioned infrastructure with the additional Kafka margin. These services are more suitable for lines of business teams that focus on their business domain and treat Kafka as a commodity tool to solve the business challenges.<br /><br />Next, we will see why Kafka-first managed services are blurring the line and getting closer to a serverless-like Kafka experience where the user is interacting with Kafka APIs and everything else is taken care of.<br /></p><h2 style="text-align: left;">“Serverless-like” Kafka</h2><p style="text-align: left;">Serverless technologies are a class of SaaS that have specific characteristics offering additional benefits to users such as a pay-per-use pricing model and eliminating the need for capacity management and scaling altogether. This is achieved through things such as not having to provision and manage servers, built-in high availability, built-in rebalancing, automatic scaling up, and scaling down to zero. <br /><br />We can look at the “Serverless Kafka” category from two opposing angles. On the positive side, we can say that the “Kafka-first” services are getting pretty close to a serverless user experience except for the pricing aspect. With these Kafka-first services, users don't have to provision infrastructure, the Kafka clusters are already preconfigured for high availability, with partition rebalancing, storage expansion, and auto-scaling (within certain boundaries). <br /><br />On the negative side, whether a Kafka service is called serverless or not, these offerings still have significant technical and pricing limitations and they are not mature enough. These services are constrained in terms of message size, partition count, partition limit, network limit, storage limit. These constraints limit the use cases where a so-called serverless Kafka can be used. Other than Upstash which is charging per message, the remaining serverless Kafka services charge for cluster hours which is against the scale-to-zero/pay-per-use ethos of the serverless definition.<br /><br />That is why today I consider the serverless Kafka category still an inspiration rather than reality. Nevertheless, these trends set the direction where managed Kafka offerings are headed: that is complete infrastructure and deployment abstractions hidden from the user; Kafka-first primitives for capacity, usage, quality of a service; autonomous service lifecycle that doesn’t require any user intervention; and with a true pay-for-what-you-use pricing model.<br /></p><h2 style="text-align: left;">Summary</h2><p style="text-align: left;">How many types of Kafka do you need? The answer is more than one. You want developer frameworks that can emulate <a href="https://quarkus.io/guides/kafka">Kafka locally</a> and enable rapid, iterative development. You want a declarative and automated way to repeatedly deploy and update development environments. Depending on your business requirements, you may require highly customised Kafka implementations at the edge or standard implementations across multiple clouds that are all connected. While your organization's event streaming adoption and Kafka maturity grows, you will need more Kafka. But there is a paradox. If you are not in the Kafka business, you should work less on Kafka itself and use Kafka for more tasks that set your business apart. This is possible if you use Kafka through higher-level frameworks like Strimzi that automate many of the operational aspects, or through a <a href="https://red.ht/TryKafka">Kafka-first service</a> that takes care of low-level decision-making and relieves you of the responsibility of running Kafka. This way, your teams stop thinking about Kafka and start thinking about how to use Kafka for what matters to your customers.</p><p style="text-align: left;">Follow me at <a href="https://twitter.com/bibryam">@bibryam</a> to join my journey of learning Apache Kafka.<i> </i>This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/articles/2022/05/16/all-about-local-and-self-managed-kafka-distributions" target="_blank">here</a> and <a href="https://developers.redhat.com/articles/2022/05/24/managed-kafka-services-which-right-you#" target="_blank">here</a>.</p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-55079655624841787872022-06-01T05:51:00.000+01:002022-06-01T05:51:24.526+01:00Kafka Optimization Theorem<p>One of the foundational theorems in distributed systems is the <a href="https://en.wikipedia.org/wiki/CAP_theorem">CAP theorem</a>. It simply explains why a distributed data store can provide only two (CP or AP, since P is a given) of the consistency (C), availability(A), and partition tolerance(P) guarantees. While this dilemma explains the main tradeoffs of distributed systems in the case of network partitions, it is not useful in the day-to-day optimizing of systems for specific performance goals in the happy path scenarios. In addition to consistency and availability, developers have to optimize applications for latency and throughput too. In this post, we will uncover how the main distributed systems forces relate to each other and which are the main primitives influencing these forces in the context of Apache Kafka. We will visualize and formulate these findings in the form of a theorem that can serve as a guide while optimizing Apache Kafka for specific goals.<br /></p><h2 style="text-align: left;">Kafka Primitives</h2><p>One of the less-known distributed systems theorems is <a href="https://en.wikipedia.org/wiki/PACELC_theorem">PACELC</a> which extends on CAP by explaining what else (E) happens when a distributed system is running normally in the absence of partitioning. In that case, one can optimize for latency (L) or consistency (C) (hence the full acronym PAC-E-LC). PACELC explains how some systems such as Amazon’s Dynamo favor availability and lower latency over consistency, and how ACID-compliant systems favor consistency over availability or lower latency.<br /></p><p><img alt="" height="262" 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" width="421" /> </p><p><b id="docs-internal-guid-e4bed45c-7fff-f55c-5d1c-1906617cb0ba" style="font-weight: normal;"></b></p><p><i>PACELC theorem for distributed data stores</i></p><p>While PACELC explains the main tradeoffs and distributed data stores, it doesn’t apply as-is to Kafka. Kafka is an event streaming platform used primarily for moving data from one place to another. A better way to look at a Kafka-based system is as a collection of producers, consumers, and topics forming distinct data flows. The consequence of that is, the client application configuration can influence every goal significantly and there are first class optimization goals in streaming applications such as end-to-end latency and throughput. Whether you are aware of it or not, every time you configure a Kafka cluster, create a topic, or configure a producer or a consumer, you are making a choice between latency vs throughput and availability vs durability. To explain why this is the case, we have to look into the main dimensions of Kafka topics and the role client applications play in an event flow.</p><p></p><p><img alt="" height="325" 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" width="354" /> </p><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"> <i>Apache Kafka optimization goals</i><br /></p><h4 style="text-align: left;">Partitions</h4><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">The topic partitions (on the X-axis in our diagram) represent the unit of parallelism in Kafka. On the broker, and the client-side, reads and writes to different partitions can be done fully in parallel. While there are many factors that can limit throughput, generally a higher number of partitions for a topic will enable higher throughput, and a smaller number of partitions will lead to lower throughput. <br /></p><br />At the same time, a very large number of partitions will lead to the creation of more metadata that needs to be passed and processed across all brokers and clients. This can impact end to end latency negatively unless more resources are added to the brokers. This is a purposely simplified view of partitions to demonstrate the main tradeoff that the number of partitions leads to in our context.<h4 style="text-align: left;">Replicas</h4><p>The replication factor (on the Y-axis in our diagram) determines the number of copies (including the leader) each topic partition in a cluster must have. By ensuring all replicas of a partition exist on different brokers, replicas define the data durability. A higher number of replicas ensure the data is copied to more brokers and ensure better durability of data in the case of broker failure. </p><p>On the other hand, a lower number of replicas reduces the data durability but in certain circumstances it can increase the availability for the producers or consumers by tolerating more broker failures. That said, the availability for a consumer is determined by the availability of in-sync replicas, whereas for a producer it is determined by the minimum number of in-sync replicas. With a low number of replicas, the availability of overall data flow will be dependent on which brokers fail (the one with the partitions leader of interest or not) and if other brokers are in sync or not. For our purpose we assume less replicas would lead to higher application availability and lower data durability.<br /><br />Partitions and replicas are not the only primitives influencing the tradeoff between throughput vs latency and durability vs availability, but they represent the broker side of the picture. Other participants in shaping the main Kafka optimization tradeoffs are the client applications.</p><h4 style="text-align: left;">Producers and Consumers</h4><p style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt; text-align: left;"></p><p>Topics are used by the producers that send messages and consumers that read these messages. Producers and consumers also state their preference between throughput vs latency and durability vs availability through various configuration options. It is the combination of topic and client application configurations (and other cluster-level configurations such as leader election) that defines what your application is optimized for. <br /><br />We can look at a flow of events consisting of a producer, a consumer, and a topic. Optimizing such an event flow for average latency, on the client-side would require tuning the producer and consumer to exchange smaller batches of messages. The same flow can be tuned for average throughput by configuring the producer and consumer for larger batches of messages. In the same way, the number of topic partitions influences throughput vs latency, a producer and consumer message batch sizes influence the same. <br /><br />Producers and consumers involved in a message flow state preference for durability or availability too. A producer that favors durability over availability can demand a higher number of acknowledgements by specifying acks=all. A lower number of acknowledgments (lower than minISR which means 0 or 1) could lead to higher availability from the producer point of view by tolerating a higher number of broker failures, but reduces data durability in the case of catastrophic events with the brokers.<br /><br />The consumer configurations influencing this dimension (Y-axis) are not as straightforward as the producer configurations but dependent on the consumer application logic. A consumer can favor higher consistency by committing message consumption offsets more often or even individually. Or the consumer can favor availability by increasing various timeouts and tolerating broker failures for longer.</p><h2 style="text-align: left;">Kafka Optimization Theorem</h2><p>We defined the main actors involved in an event flow as a producer, a consumer, and a topic. We also defined the opposing goals we have to optimize for: throughput vs latency and durability vs availability. Given that, the Kafka Optimization Theorem states that any Kafka data flow makes tradeoffs between throughput vs latency and durability vs availability.<br class="Apple-interchange-newline" /></p><img alt="" height="534" 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" width="505" /> <p></p><p><i>Kafka Optimization Theorem with primary configuration options</i><br /><br />For simplicity, we put producer and consumer preferences on the same axes as topic replicas and partitions. Optimizing for a particular goal would be easier to achieve when these primitives are aligned. For example, optimizing an end-to-end data flow for low latency would be best achieved with smaller producer and consumer message batches combined with a small number of partitions.<br /><br /> A data flow optimized for higher throughput would have larger producer and consumer message batches and higher number of partitions for parallel processing. A data flow optimized for durability would have a higher number of replicas and require a higher number of producer acknowledgments and granular consumer commits. If the data flow is optimized for availability, a smaller number of replicas, and/or smaller number of producer acknowledgments, larger timeouts, would be preferred. In practice, there is no correlation between partitions, replicas, producers, and consumers configurations. It is possible to have a large number of replicas for a topic (minISR), but have a producer that requires a 0 or 1 of acknowledgment. Or have a higher number of partitions because your application logic requires so, and small producer and consumer message batches. These are valid scenarios to use Kafka and one of the strengths of Apache Kafka is being a highly configurable and flexible eventing system satisfying many use cases. The framework proposed here is to serve as a mental model for the main Kafka primitives and how they relate to the optimization dimensions. Knowing the foundational forces will enable you to do tuning specific for your application and understand the effects.<b id="docs-internal-guid-81332bfc-7fff-296e-23e1-35a58997101d" style="font-weight: normal;"><span face="'Red Hat Display',sans-serif" style="background-color: lime; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"><br class="Apple-interchange-newline" /></span><span face="'Red Hat Display',sans-serif" style="background-color: lime; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"><b id="docs-internal-guid-98409977-7fff-aa0c-c787-d3f069e839ae" style="font-weight: normal;"></b></span></b></p><h1 dir="ltr" style="line-height: 1.38; margin-bottom: 6pt; margin-top: 20pt;"><b id="docs-internal-guid-81332bfc-7fff-296e-23e1-35a58997101d" style="font-weight: normal;"><b id="docs-internal-guid-98409977-7fff-aa0c-c787-d3f069e839ae" style="font-weight: normal;"><span face="'Red Hat Display',sans-serif" style="background-color: transparent; color: black; font-size: 20pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;">The Golden Ratio</span></b></b><b id="docs-internal-guid-81332bfc-7fff-296e-23e1-35a58997101d" style="font-weight: normal;"><b id="docs-internal-guid-98409977-7fff-aa0c-c787-d3f069e839ae" style="font-weight: normal;"><span face="'Red Hat Display',sans-serif" style="background-color: transparent; color: black; font-size: 20pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"> </span></b></b></h1><p>In the proposed Kafka Optimization Theorem, there are deliberately no numbers but only the relation between the main primitives and the direction of change. It is not intended to serve as a concrete optimization configuration but a guide that shows how reducing or increasing a primitive configuration influences the direction of the optimization. Yet sharing a few of the most common configuration options accepted as the industry best practices could be useful as a starting point and demonstration of the theorem in practice.<br /></p><p>Most Kafka clusters today, whether that is on-prem with something like <a href="https://strimzi.io/">Strimzi</a>, or as a fully managed service offering such as <a href="https://red.ht/TryKafka">OpenShift Streams for Apache Kafka</a>, are almost always deployed within a single region. A production-grade Kafka cluster is typically spread into 3 availability zones (AZs) with a replication factor of 3 (RF=3) and minimum in-sync replicas of 2 (minISR=2). This ensures a good level of data durability during happy times, and good availability for client applications during temporary disruptions. This represents the good middle ground as having minISR=3 would prevent producers from producing even when a single broker is affected, and having minISR=1 would affect both producer and consumer when a leader is down. Typically this replication configuration is accompanied by acks=all on the producer side and default offset commit configurations for the consumers. <br /><br />While there are commonalities in consistency and availability tradeoffs among different applications, throughput and latency requirements vary. The number of partitions for a topic is influenced by the shape of the data, the data processing logic, and its ordering requirements. At the same time, the number of partitions dictates what is the level of maximum parallelism and message throughput you can achieve. As a consequence, there is no good default number or a range for the partition count.<br /><br />By default, Kafka clients are optimized for low latency. We can observe that from the default producer values (batch.size=16384, linger.ms=0, compression.type=none) and the default consumer values (fetch.min.bytes=1, fetch.max.wait.ms=500). The producer prior Kafka 3 had acks=1 which recently changed to acks=all with a preference on durability rather than availability or low latency. Optimizing the client applications for throughput would require increasing wait times and batch sizes 5-10 fold and examining the results. Knowing the default values and what they are optimized for is a good starting point for your service optimization goal.<b id="docs-internal-guid-81332bfc-7fff-296e-23e1-35a58997101d" style="font-weight: normal;"><span face="'Red Hat Display',sans-serif" style="background-color: lime; color: black; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"></span></b><br /></p><h2 style="text-align: left;">Summary</h2><p>CAP is a great theorem for failure scenarios. While failures are a given and partitioning will always happen, we have to optimize applications for happy paths too. This post introduces a simplified model explaining how Kafka primitives can be used for performance optimization. It deliberately focuses on the main primitives and selective configurations options to demonstrate the principles. In real life, more factors influence your application performance metrics. Encryption, compression, and memory allocation will impact latency and throughput. Transactions, exactly-one semantics, retries, message flushes, and leader election will impact consistency and availability tradeoffs. You will have broker primitives (replicas and partitions) and client primitives (batch sizes and acknowledgments) optimized for competing tradeoffs. Finding the ideal Kafka configuration for your application will require experimentation, and the Kafka Optimization Theorem will guide you in the journey. Follow me at <a href="https://twitter.com/bibryam">@bibryam</a> to join my journey of learning Apache Kafka.<i> </i>This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/articles/2022/05/03/fine-tune-kafka-performance-kafka-optimization-theorem" target="_blank">here</a>.</p><p></p> <p></p><p></p><p></p><p></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-9319310695487726592022-05-02T12:16:00.001+01:002022-05-02T12:18:09.566+01:00Comparing Distributed Transaction Patterns for Microservices<p><span data-cke-copybin-start="1"></span><span id="cke_bm_174S" style="display: none;"></span>As a consulting architect at Red Hat, I've had the privilege of working on legions of customer projects. Every customer brings their own challenges but I've found some commonalities. One thing most customers want to know is how to coordinate writes to more than one system of record. Answering this question typically involves a long explanation of dual writes, distributed transactions, modern alternatives, and the possible failure scenarios and drawbacks of each approach. Typically, this is the moment when a customer realizes that <a href="http://www.ofbizian.com/2022/03/application-modernization-patterns-with.html">splitting a monolithic application into microservices</a> is a long and complicated journey, and usually requires tradeoffs.
</p><p>Rather than go down the rabbit hole of discussing transactions in-depth, this article summarizes the main approaches and patterns for coordinating writes to multiple resources. I’m aware that you might have good or bad past experiences with one or more of these approaches. But in practice, in the right context and with the right constraints, all of these methods work fine. Tech leads are responsible for choosing the best approach for their context.</p>
<p class="Indent1"><b>Note</b>: If you are interested in dual writes, watch my Red Hat Summit 2021 session, where I covered <a href="https://events.summit.redhat.com/widget/redhat/sum21/sessioncatalog/session/1607126048915001oL4X">dual write challenges</a> in depth. You can also <a href="https://www.slideshare.net/bibryam/dual-write-strategies-for-microservices">skim through the slides</a> from my presentation. Currently, I am involved with Red Hat OpenShift Streams for Apache Kafka, a <a href="http://red.ht/TryKafka">fully managed Apache Kafka service</a>. It takes less than a minute to start and is completely free during the trial period. <a href="https://console.redhat.com/beta/application-services/streams/kafkas">Give it a try</a> and help us shape it with your early feedback. If you have questions or comments about this article, hit me on Twitter <a href="https://twitter.com/bibryam">@bibryam</a> and let’s get started.</p>
<h2>The dual write problem</h2>
<p>The single indicator that you may have a dual write problem is the need to write to more than one system of record predictably. This requirement might not be obvious and it can express itself in different ways in the distributed systems design process. For example:</p>
<ul><li>You have chosen the best tools for each job and now you have to update a NoSQL database, a search index, and a cache as part of a single business transaction.</li><li>The service you have designed has to update its database and also send a notification to another service about the change.</li><li>You have business transactions that span multiple services boundaries.</li><li>You may have to implement service operations as idempotent because consumers have to retry failed invocations.</li></ul>
<p>For this article, we'll use a single example scenario to evaluate the various approaches to handling dual writes in distributed transactions. Our scenario is a client application that invokes a microservice on a mutating operation. Service A has to update its database, but it also has to call Service B on a write operation, as illustrated in Figure 1. The actual type of the database, the protocol of the service-to-service interactions, is irrelevant for our discussion as the problem remains the same. <br /></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhJgiVhF7u-7XntzD5bVACo8H6fUTtL-2GBfju7w_NBhVV3pWCMMDxXO81NbnSETuSlFO3hTo1xfMtWZl-uhr1RRHLyw-PN_2ti7v0kwZyrz4GTZHbKXQcTAth0HIG-MrrUtocj-oZA2ChcYnzMgizlcf_a5MmlBkxmGgQ76idEwpzZt8BKFRoHyYKqpA/s600/1.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="492" data-original-width="600" height="262" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhJgiVhF7u-7XntzD5bVACo8H6fUTtL-2GBfju7w_NBhVV3pWCMMDxXO81NbnSETuSlFO3hTo1xfMtWZl-uhr1RRHLyw-PN_2ti7v0kwZyrz4GTZHbKXQcTAth0HIG-MrrUtocj-oZA2ChcYnzMgizlcf_a5MmlBkxmGgQ76idEwpzZt8BKFRoHyYKqpA/s320/1.png" width="320" /></a></div>Figure 1: The dual write problem in microservices.<p></p><div aria-label="1.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="12" data-cke-widget-wrapper="1" role="region" tabindex="-1"><div class="rhd-c-figure" style="position: relative;"><article class="media media--type-image media--view-mode-article-content"><div class="field field--name-field-caption field--type-string field--label-hidden field__items">
</div>
</article>
</div>
<span class="cke_reset cke_widget_drag_handler_container" style="background-attachment: scroll; background-clip: border-box; background-color: rgba(220, 220, 220, 0.5); background-origin: padding-box; background-position: 0% 0%; background-repeat: repeat; background-size: auto; background: rgba(220, 220, 220, 0.5) url("https://developers.redhat.com/core/assets/vendor/ckeditor/plugins/widget/images/handle.png") repeat scroll 0% 0%; left: 0px; top: -15px;"></span>A small but critical clarification explains why there are no simple solutions to this problem. If Service A writes to its database and then sends a notification to a queue for Service B (let’s call it a <i>local-commit-then-publish approach</i>), there is still a chance the application won't work reliably. While Service A writes to its database and then sends the message to a queue, there is a small probability of the application crashing after the commit to the database and before the second operation, which would leave the system in an inconsistent state. If the message is sent before writing to the database (let’s call this approach <i>publish-then-local-commit</i>), there is a possibility of database write failing or timing issues where Service B receives the event before Service A has committed the change to its database. In either case, this scenario involves dual writes to a database and a queue, which is the core problem we are going to explore. In the next sections, I will discuss the various implementation approaches available today for this always-present challenge.
</div><h2>The modular monolith</h2>
<p>Developing your application as a modular monolith might seem like a hack or going backward in architectural evolution, but I have seen it work fine in practice. It is not a microservices pattern but an exception to the microservices rule that can be combined cautiously with microservices. When strong write consistency is the driving requirement, more important even than the ability to deploy and scale microservices independently, then you could go with the modular monolith architecture.</p>
<p>Having a monolithic architecture does not imply that the system is poorly designed or bad. It does not say anything about quality. As the name suggests, it is a system designed in a modular way with exactly one deployment unit. Note that this is a purposefully designed and implemented <a href="https://developers.redhat.com/blog/2016/10/27/the-fast-moving-monolith-how-we-sped-up-delivery-from-every-three-months-to-every-week">modular monolith</a>, which is different from an accidentally created monolith that grows over time. In a purposeful modular monolith architecture, every module follows the microservices principles. Each module encapsulates all the access to its data, but the operations are exposed and consumed as in-memory method calls.</p>
<h3>The architecture of a modular monolith</h3>
<p>With this approach, you have to convert both microservices (Service A and Service B) into library modules that can be deployed into a shared runtime. You then make both microservices share the same database instance. Because the services are written and deployed as libraries in a common runtime, they can participate in the same transactions. Because the modules share a database instance, you can use a local transaction to commit or rollback all changes at once. There are also differences around the deployment method because we want the modules to be deployed as libraries within a bigger deployment, and to participate in existing transactions.</p>
<p>Even in a monolithic architecture, there are ways to isolate the code and data. For example, you can segregate the modules into separate packages, build modules, and source code repositories, which can be owned by different teams. You can do partial data isolation by grouping tables by naming convention, schemas, database instances, or even by database servers. The diagram in Figure 2, inspired by Axel Fontaine's talk on <a href="https://www.youtube.com/watch?v=BOvxJaklcr0">majestic modular monoliths</a>, illustrates the different code- and data-isolation levels in applications. <br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgkO3sZRAG5VQ1EZaUrWFvGIwWQhtzEeNXNUyb7CVaNWQxfatwFK8U8gRRqxJUw_hDlg_PXja8HTYiinxjVMgtE6IGEJvijyYYERoJwlsntTyC1vWFlNUydSmLb9MfKC6O6Lkaka9uGtb3k08gH11Fpjx1MP6LFguTzHwZ5ITPyNDD3II9Cd_avfSdoAg/s600/22.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="464" data-original-width="600" height="247" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgkO3sZRAG5VQ1EZaUrWFvGIwWQhtzEeNXNUyb7CVaNWQxfatwFK8U8gRRqxJUw_hDlg_PXja8HTYiinxjVMgtE6IGEJvijyYYERoJwlsntTyC1vWFlNUydSmLb9MfKC6O6Lkaka9uGtb3k08gH11Fpjx1MP6LFguTzHwZ5ITPyNDD3II9Cd_avfSdoAg/s320/22.png" width="320" /></a></div> Figure 2: Levels of code and data isolation for applications.<p></p>
<p>The last piece of the puzzle is to use a runtime and a wrapper service capable of consuming other modules and including them in the context of an existing transaction. All of these constraints make the modules more tightly coupled than typical microservices, but the benefit is that the wrapper service can start a transaction, invoke the library modules to update their databases, and commit or roll back the transaction as one operation, without concerns about partial failure or eventual consistency.</p>
<p>In our example, illustrated in Figure 3, we have converted Service A and Service B into libraries and deployed them into a shared runtime, or one of the services could act as the shared runtime. The tables from the databases also share a single database instance, but it is separated as a group of tables managed by the respective library services.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvPVU4tFsjFkR1sGsmhmBss0U_AAWrzEdAEMKCE3BjDMnyROY7eXx3hPyAYTOAPlT9NQpp5C7a2qjM9llVxIQnGiJgAoX8x0zueIs6kX309z-CZ23n6KV2HLNvcdr498Jq7F-zhFLkyxG6Z0pq-6WAeeeFpMedLCY55XpU1n3m_L9hxV4fFwf9LQTEFw/s732/2.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="732" data-original-width="600" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvPVU4tFsjFkR1sGsmhmBss0U_AAWrzEdAEMKCE3BjDMnyROY7eXx3hPyAYTOAPlT9NQpp5C7a2qjM9llVxIQnGiJgAoX8x0zueIs6kX309z-CZ23n6KV2HLNvcdr498Jq7F-zhFLkyxG6Z0pq-6WAeeeFpMedLCY55XpU1n3m_L9hxV4fFwf9LQTEFw/s320/2.png" width="262" /></a></div> Figure 3: Modular monolith with a shared database.<p></p>
<h3>Benefits and drawbacks of the modular monolith</h3>
<p>In some industries, it turns out the benefits of this architecture are far more important than the faster delivery and pace of change that are so highly valued at other places. Table 1 summarizes the benefits and drawbacks of the modular monolith architecture.</p>
<table border="1" cellpadding="1" cellspacing="1" style="width: 500px;">
<caption>Table 1: Benefits and drawbacks of the modular monolith architecture.</caption>
<tbody>
<tr>
<td><b>Benefits</b></td>
<td>Simple transaction semantics with local transactions ensuring data consistency, read-your-writes, rollbacks, and so on.</td>
</tr>
<tr>
<td><b>Drawbacks</b></td>
<td>
<ul><li>A shared runtime prevents us from independently deploying and scaling modules, and prevents failure isolation.</li><li>The logical separation of tables in a single database is not strong. With time, it can turn into a shared integration layer.</li><li>Module coupling and sharing transaction context requires coordination during the development stage and increases the coupling between services.</li></ul>
</td>
</tr>
<tr>
<td><b>Examples</b></td>
<td>
<ul><li>Runtimes such as Apache Karaf and WildFly that allow modular and dynamic deployment of services.</li><li>Apache Camel’s <code>direct</code> and <code>direct-vm</code> components allow exposing operations for in-memory invocations and preserve transaction contexts within a JVM process.</li><li>Apache Isis is one of the best examples of the modular monolith architecture. It enables domain-driven application development by automatically generating a UI and REST APIs for your Spring Boot applications.</li><li>Apache OFBiz is another example of a modular monolith and service-oriented architecture (SOA). It is a comprehensive enterprise resource planning system with hundreds of tables and services that can automate enterprise business processes. Despite its size, its modular architecture allows developers to quickly understand and customize it.</li></ul>
</td>
</tr>
</tbody>
</table>
<p>Distributed transactions are typically the last resort, used in a variety of instances:</p>
<ul><li>When writes to disparate resources cannot be eventually consistent.</li><li>When we have to write to heterogeneous data sources.</li><li>When exactly-once message processing is required and we cannot refactor a system and make its operations idempotent.</li><li>When integrating with third-party black-box systems or legacy systems that implement the two-phase commit specification.</li></ul>
<p>In all of these situations, when scalability is not a concern, we might consider distributed transactions an option.</p>
<h3>Implementing the two-phase commit architecture</h3>
<p>The technical requirements for two-phase commit are that you need a distributed transaction manager such as <a href="https://narayana.io/">Narayana</a> and a reliable storage layer for the transaction logs. You also need <a href="https://publications.opengroup.org/standards/dist-computing/c193">DTP XA</a>-compatible data sources with associated XA drivers that are capable of participating in distributed transactions, such as RDBMS, message brokers, and caches. If you are lucky to have the right data sources but run in a dynamic environment, such as Kubernetes, you also need an operator-like mechanism to ensure there is only a single instance of the distributed transaction manager. The transaction manager must be highly available and must always have access to the transaction log.</p>
<p>For implementation, you could explore a <a href="https://github.com/snowdrop/narayana-spring-boot/tree/master/openshift/recovery-controller">Snowdrop Recovery Controller</a> that uses the <a href="https://developers.redhat.com/blog/2020/05/11/top-10-must-know-kubernetes-design-patterns">Kubernetes StatefulSet pattern</a> for singleton purposes and persistent volumes to store transaction logs. In this category, I also include specifications such as <a href="http://docs.oasis-open.org/ws-tx/wstx-wsat-1.2-spec.html">Web Services Atomic Transaction</a> (WS-AtomicTransaction) for SOAP web services. What all of these technologies have in common is that they implement the XA specification and have a central transaction coordinator.</p>
<p>In our example, shown in Figure 4, Service A is using distributed transactions to commit all changes to its database and a message to a queue without leaving any chance for duplicates or lost messages. Similarly, Service B can use distributed transactions to consume the messages and commit to Database B in a single transaction without any duplicates. Or, Service B can choose not to use distributed transactions, but use local transactions and implement the idempotent consumer pattern. For the record, a more appropriate example for this section would be using WS-AtomicTransaction to coordinate the writes to Database A and Database A in a single transaction and avoid eventual consistency altogether. But that approach is even less common, these days, than what I've described.</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6NZ1-d9w8M1EKHRVd9zOlreDqmEgqyJaHLbTy6xNrliZ6kPhPm4gEGNGlnr_7gYR-_SU54ru0zDqGGG1Jt4Az_ENhUtP06wLa-nHv2h2VXXvT9HM0nVn9AEnxPFGb97Cc6ZT8HqsEi18XG0OrsYN_89pZziRQqcql-4-AO_E_kq3E8X5gTmRekw7Oxg/s600/3.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="413" data-original-width="600" height="220" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6NZ1-d9w8M1EKHRVd9zOlreDqmEgqyJaHLbTy6xNrliZ6kPhPm4gEGNGlnr_7gYR-_SU54ru0zDqGGG1Jt4Az_ENhUtP06wLa-nHv2h2VXXvT9HM0nVn9AEnxPFGb97Cc6ZT8HqsEi18XG0OrsYN_89pZziRQqcql-4-AO_E_kq3E8X5gTmRekw7Oxg/s320/3.png" width="320" /></a></div>Figure 4: Two-phase commit spanning between a database and a message broker.<p></p>
<h3>Benefits and drawbacks of the two-phase commit architecture</h3>
<p>The two-phase commit protocol offers similar guarantees to local transactions in the modular monolith approach, but with a few exceptions. Because there are two or more separate data sources involved in an atomic update, they may fail in a different manner and block the transaction. But thanks to its central coordinator, it is still easy to discover the state of the distributed system compared to the other approaches I will discuss.</p>
<p>Table 2 summarizes the benefits and drawbacks of this approach.</p>
<table border="1" cellpadding="1" cellspacing="1" style="width: 500px;">
<caption>Table 2: Benefits and drawbacks of two-phase commit.</caption>
<tbody>
<tr>
<td><b>Benefits</b></td>
<td>
<ul><li>Standard-based approach with out-of-the-box transaction managers and supporting data sources.</li><li>Strong data consistency for the happy scenarios.</li></ul>
</td>
</tr>
<tr>
<td><b>Drawbacks</b></td>
<td>
<ul><li>Scalability constraints.</li><li>Possible recovery failures when the transaction manager fails.</li><li>Limited data source support.</li><li>Storage and singleton requirements in dynamic environments.</li></ul>
</td>
</tr>
<tr>
<td><b>Examples</b></td>
<td>
<ul><li>The <a href="https://en.wikipedia.org/wiki/Java_Transaction_API">Jakarta Transactions API</a> (formerly Java Transaction API)</li><li>WS-AtomicTransaction</li><li>JTS/IIOP</li><li>eBay’s <a href="https://tech.ebayinc.com/engineering/grit-a-protocol-for-distributed-transactions-across-microservices/">GRIT</a></li><li>Atomikos</li><li>Narayana</li><li>Message brokers such as Apache ActiveMQ</li><li>Relational data sources that implement the XA spec, in-memory data stores such as Infinispan</li></ul>
</td>
</tr>
</tbody>
</table>
<h2>Orchestration</h2>
<p>With a modular monolith, we use local transactions and we always know the state of the system. With distributed transactions based on the two-phase commit protocol, we also guarantee a consistent state. The only exception would be an unrecoverable failure that involved the transaction coordinator. But what if we wanted to ease the consistency requirements while still knowing the state of the overall distributed system and coordinating from a single place? In this case, we might consider an <i>orchestration</i> approach, where one of the services acts as the coordinator and orchestrator of the overall distributed state change. The orchestrator service has the responsibility to call other services until they reach the desired state or take corrective actions if they fail. The orchestrator uses its local database to keep track of state changes, and it is responsible for recovering any failures related to state changes.</p>
<h3>Implementing an orchestration architecture</h3>
<p>The most popular implementations of the orchestration technique are BPMN specification implementations such as the <a href="https://www.jbpm.org/">jBPM</a> and <a href="https://github.com/camunda/camunda-bpm-platform">Camunda</a> projects. The need for such systems doesn’t disappear with overly distributed architectures such as microservices or serverless; on the contrary, it increases. For proof, we can look to newer stateful orchestration engines that do not follow a specification but provide similar stateful behavior, such as Netflix’s <a href="https://netflix.github.io/conductor/">Conductor</a>, Uber’s <a href="https://github.com/uber/cadence">Cadence</a>, and Apache's <a href="https://airflow.apache.org/">Airflow</a>. Serverless stateful functions such as Amazon StepFunctions, Azure Durable Functions, and Azure Logic Apps are in this category, as well. There are also open source libraries that allow you to implement stateful coordination and rollback behavior such as Apache Camel’s <a href="https://camel.apache.org/components/latest/eips/saga-eip.html">Saga</a> pattern implementation and the NServiceBus <a href="https://docs.particular.net/nservicebus/sagas/">Saga</a> capability. The many homegrown systems implementing the Saga pattern are also in this category.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvFQrZoZOjFSZWG6IJR1y62xbXBq67IaLief5EmceZOIizB3r8lO_3azXqI61V5VNeTuHXFY5qMxVDL4w7c2Uk_rijyyGPEBuCTYpUsX-jtrpnc09uHPCfbXa8f-hqPTB8eoThgetWMLN2fNFlTguY-tcnSbckvlxjdzJpHWgm80Hzj8IhZmu1c8dydA/s600/4.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="483" data-original-width="600" height="258" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjvFQrZoZOjFSZWG6IJR1y62xbXBq67IaLief5EmceZOIizB3r8lO_3azXqI61V5VNeTuHXFY5qMxVDL4w7c2Uk_rijyyGPEBuCTYpUsX-jtrpnc09uHPCfbXa8f-hqPTB8eoThgetWMLN2fNFlTguY-tcnSbckvlxjdzJpHWgm80Hzj8IhZmu1c8dydA/s320/4.png" width="320" /></a></div> <p></p><p>Figure 5: Orchestrating distributed transactions between two services.</p>
<p>In our example diagram, shown in Figure 5, we have Service A acting as the stateful orchestrator responsible to call Service B and recover from failures through a compensating operation if needed. The crucial characteristic of this approach is that Service A and Service B have local transaction boundaries, but Service A has the knowledge and the responsibility to orchestrate the overall interaction flow. That is why its transaction boundary touches Service B endpoints. In terms of implementation, we could set this up with synchronous interactions, as shown in the diagram, or using a message queue in between the services (in which case you could use a two-phase commit, too).</p>
<h3>Benefits and drawbacks of orchestration</h3>
<p>Orchestration is an <i>eventually consistent</i> approach that may involve retries and rollbacks to get the distribution into a consistent state. While it avoids the need for distributed transactions, orchestration requires the participating services to offer idempotent operations in case the coordinator has to retry an operation. Participating services also must offer recovery endpoints in case the coordinator decides to roll back and fix the global state. The big advantage of this approach is the ability to drive heterogeneous services that might not support distributed transactions into a consistent state by using only local transactions. The coordinator and the participating services need only local transactions, and it is always possible to discover the state of the system by asking the coordinator, even if it is in a partially consistent state. Doing that is not possible with the other approaches I will describe.</p>
<table border="1" cellpadding="1" cellspacing="1" style="width: 500px;">
<caption>Table 3: Benefits and drawbacks of orchestration.</caption>
<tbody>
<tr>
<td><b>Benefits</b></td>
<td>
<ul><li>Coordinates state among heterogeneous distributed components.</li><li>No need for XA transactions.</li><li>Known distributed state at the coordinator level.</li></ul>
</td>
</tr>
<tr>
<td><b>Drawbacks</b></td>
<td>
<ul><li>Complex distributed programming model.</li><li>May require idempotency and compensating operations from the participating services.</li><li>Eventual consistency.</li><li>Possibly unrecoverable failures during compensations.</li></ul>
</td>
</tr>
<tr>
<td><b>Examples</b></td>
<td>
<ul><li>jBPM</li><li>Camunda</li><li>MicroProfile <a href="https://github.com/eclipse/microprofile-lra">Long Running Actions</a></li><li>Conductor</li><li>Cadence</li><li>Step Functions</li><li>Durable Functions</li><li>Apache Camel Saga pattern implementation</li><li>NServiceBus Saga pattern implementation</li><li>The CNCF <a href="https://serverlessworkflow.io/">Serverless Workflow</a> specification</li><li>Homegrown implementations</li></ul>
</td>
</tr>
</tbody>
</table>
<h2>Choreography</h2>
<p>As you've seen in the discussion so far, a single business operation can result in multiple calls among services, and it can take an indeterminate amount of time before a business transaction is processed end-to-end. To manage this, the orchestration pattern uses a centralized controller service that tells the participants what to do.</p>
<p>An alternative to orchestration is <i>choreography</i>, which is a style of service coordination where participants exchange events without a centralized point of control. With this pattern, each service performs a local transaction and publishes events that trigger local transactions in other services. Each component of the system participates in decision-making about a business transaction's workflow, instead of relying on a central point of control. Historically, the most common implementation for the choreography approach was using an asynchronous messaging layer for the service interactions. Figure 6 illustrates the basic architecture of the choreography pattern.</p><p></p><div class="rhd-c-figure" style="position: relative;"><article class="media media--type-image media--view-mode-article-content"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQWeaRkiAr70kE5CW8V6C9JxhR8svfBc3f7pZ4mU8ojDNOUzqE4UQdRKgB8oLT8jUtHbO5zhQbG2qr4YO2Cu2LZHILKHtN4PHOn4KK7uHKjr69bD8UDGU_LVQdb4SyFAW6YEhoaxAVDTR4PTr-xEpufIQmqb6BPowbX4tHlDphKwswdgP9CWvf9IRlkQ/s600/5.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="417" data-original-width="600" height="222" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQWeaRkiAr70kE5CW8V6C9JxhR8svfBc3f7pZ4mU8ojDNOUzqE4UQdRKgB8oLT8jUtHbO5zhQbG2qr4YO2Cu2LZHILKHtN4PHOn4KK7uHKjr69bD8UDGU_LVQdb4SyFAW6YEhoaxAVDTR4PTr-xEpufIQmqb6BPowbX4tHlDphKwswdgP9CWvf9IRlkQ/s320/5.png" width="320" /></a></div> <br /></article><article class="media media--type-image media--view-mode-article-content">Figure 6: Service choreography through a messaging layer.<div class="field field--name-field-caption field--type-string field--label-hidden field__items">
</div>
</article>
</div>
<p></p>
<h3>Choreography with a dual write</h3>
<p>For message-based choreography to work, we need each participating service to execute a local transaction and trigger the next service by publishing a command or event to a messaging infrastructure. Similarly, other participating services have to consume a message and perform a local transaction. That in itself is a dual-write problem within a higher-level dual-write problem. When we develop a messaging layer with a dual write to implement the choreography approach, we could design it as a two-phase commit that spans a local database and a message broker. I covered that approach earlier. Alternatively, we might use a <i>publish-then-local-commit</i> or <i>local-commit-then-publish</i> pattern:</p>
<ul><li><b>Publish-then-local-commit</b>: We could try to publish a message first and then commit a local transaction. While this option might sound fine, it has practical challenges. For example, very often you need to publish an ID that is generated from the local transaction commit, which won’t be available to publish. Also, the local transaction might fail, but we cannot rollback the published message. This approach lacks read-your-write semantics and it is an impractical solution for most use cases.</li><li><b>Local-commit-then-publish</b>: A slightly better approach would be to commit the local transaction first and then publish the message. This has a small probability of failure occurring after a local transaction has been committed and before publishing the message. But even in that case, you could design your services to be idempotent and retry the operation. That would mean committing the local transaction again and then publishing the message. This approach can work if you control the downstream consumers and can make them idempotent, too. It's also a pretty good implementation option overall.</li></ul>
<h3>Choreography without a dual write</h3>
<p>The various ways of implementing a choreography architecture constrain every service to write only to a single data source with a local transaction, and nowhere else. Let’s see how that could work without a dual write.</p>
<p>Let’s say Service A receives a request and writes it to Database A, and nowhere else. Service B periodically polls Service A and detects new changes. When it reads the change, Service B updates its own database with the change and also the index or timestamp up to which it picked up the changes. The critical part here is the fact that both services only write to their own database and commit with a local transaction. This approach, illustrated in Figure 7, can be described as <i>service choreography</i>, or we could describe it using the good old data pipeline terminology. The possible implementation options are more interesting.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTYKfrgBQCr0z0jQNT91i0xID3UyxKbOORTMZ5TIb7H3vBib60nbRZMf9a64J59j0enwjiuPtv7zTg-80pebM4oui-etk9DbL6aBuWV5wvg8rZ_uLPGHEKKfqvpReow1Ss62AsDGykOjKDahbHqvhaqHabtbAuHx9dmC3AWvChTnJUyBHSg0Jk4LlDTw/s600/5.1.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="549" data-original-width="600" height="293" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjTYKfrgBQCr0z0jQNT91i0xID3UyxKbOORTMZ5TIb7H3vBib60nbRZMf9a64J59j0enwjiuPtv7zTg-80pebM4oui-etk9DbL6aBuWV5wvg8rZ_uLPGHEKKfqvpReow1Ss62AsDGykOjKDahbHqvhaqHabtbAuHx9dmC3AWvChTnJUyBHSg0Jk4LlDTw/s320/5.1.png" width="320" /></a></div><br /><p></p><p>Figure 7: Service choreography through polling.</p>
<p>The simplest scenario is for Service B to connect to the Service A database and read the tables owned by Service A. The industry tries to avoid that level of coupling with shared tables, however, and for a good reason: Any change in Service A's implementation and data model could break Service B. We can make a few gradual improvements to this scenario, for example by using the <a href="https://microservices.io/patterns/data/transactional-outbox.html">Outbox pattern</a> and giving Service A a table that acts as a public interface. This table could only contain the data Service B requires, and it could be designed to be easy to query and track for changes. If that is not good enough, a further improvement would be for Service B to ask Service A for any changes through an API management layer rather than connecting directly to Database A.</p>
<p>Fundamentally, all of these variations suffer from the same drawback: Service B has to poll Service A continuously. Doing this can lead to unnecessary continuous load on the system or unnecessary delay in picking up the changes. Polling a microservice for changes is a hard sell, so let’s see what we can do to further improve this architecture.</p>
<h3>Choreography with Debezium</h3>
<p>One way to improve a choreography architecture and make it more attractive is to introduce a tool like <a href="https://debezium.io/blog/2019/02/19/reliable-microservices-data-exchange-with-the-outbox-pattern/">Debezium</a>, which we can use to perform change data capture (CDC) using Database A’s transaction log. Figure 8 illustrates this approach.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEis3hpD1TxDNnWZx4TrdDZCSa-PNVsrm5v5dR3ZSJJLlAN2syDLXQZ6KjycPvk6E2aprGWKDHmV05LKhB7VIktC1rpjEbcK9Iz2GBTugsMOCi8z2Vb044T5IFfyPqaIaoAV2mPhXelfJcTta2HFEfRIAMFuQGUyvjdHx9gXbDSMlByAGdX2ZedEXc1JDA/s600/6.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="393" data-original-width="600" height="210" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEis3hpD1TxDNnWZx4TrdDZCSa-PNVsrm5v5dR3ZSJJLlAN2syDLXQZ6KjycPvk6E2aprGWKDHmV05LKhB7VIktC1rpjEbcK9Iz2GBTugsMOCi8z2Vb044T5IFfyPqaIaoAV2mPhXelfJcTta2HFEfRIAMFuQGUyvjdHx9gXbDSMlByAGdX2ZedEXc1JDA/s320/6.png" width="320" /></a></div> Figure 8: Service choreography with change data capture.<p></p>
<p>Debezium can monitor a database's transaction log, perform any necessary filtering and transformation, and deliver relevant changes into an Apache Kafka topic. This way, Service B can listen to generic events in a topic rather than polling Service A's database or APIs. Swapping database polling for streaming changes and introducing a queue between the services makes the distributed system more reliable, scalable, and opens up the possibility of introducing other consumers for new use cases. Using Debezium offers an elegant way to implement the <a href="https://debezium.io/blog/2019/02/19/reliable-microservices-data-exchange-with-the-outbox-pattern/">Outbox pattern</a> for orchestration- or choreography-based <a href="https://www.infoq.com/articles/saga-orchestration-outbox/">Saga pattern implementations</a>.</p>
<p>A side-effect of this approach is that it introduces the possibility of Service B receiving duplicate messages. This can be addressed by implementing the service as idempotent, either at the business logic level or with a technical deduplicator (with something like Apache ActiveMQ Artemis’s <a href="https://activemq.apache.org/components/artemis/documentation/1.1.0/duplicate-detection.html">duplicate message detection</a> or Apache Camel's idempotent consumer pattern).</p>
<h3>Choreography with event sourcing</h3>
<p><i>Event sourcing</i> is another implementation of the service choreography approach. With this pattern, the state of an entity is stored as a sequence of state-changing events. When there is a new update, rather than updating the entity's state, a new event is appended to the list of events. Appending new events to an event store is an atomic operation done in a local transaction. The beauty of this approach, shown in Figure 9, is that the event store also behaves like a message queue for other services to consume updates.</p><p></p><div class="rhd-c-figure" style="position: relative;"><article class="media media--type-image media--view-mode-article-content"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgAINZoUkJTcm3zhk9zLYHBPX1DDQdlia0iVos3OjQhW-fjGoE9h-g2ZrVfvugAh-Uibw7V28OQ5ThG_FravupF1cTNtUAZmjHJ-mGbld3-FPHnCZ1eAdlqLyTRKLJnrzlVndhrfREaXwqQWT4emYs8zIOEJyo-4mdtPICclO_xt_dQV-ErRj8YQEIDfg/s600/7.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="524" data-original-width="600" height="279" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgAINZoUkJTcm3zhk9zLYHBPX1DDQdlia0iVos3OjQhW-fjGoE9h-g2ZrVfvugAh-Uibw7V28OQ5ThG_FravupF1cTNtUAZmjHJ-mGbld3-FPHnCZ1eAdlqLyTRKLJnrzlVndhrfREaXwqQWT4emYs8zIOEJyo-4mdtPICclO_xt_dQV-ErRj8YQEIDfg/s320/7.png" width="320" /></a></div>Figure 9: Service choreography through event sourcing.<div class="field field--name-field-caption field--type-string field--label-hidden field__items">
</div>
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<p></p>
<p>Our example, when converted to use event sourcing, would store client requests in an append-only event store. Service A can reconstruct its current state by replaying the events. The event store also needs to allow Service B to subscribe to the same update events. With this mechanism, Service A uses its storage layer also as the communication layer with other services. While this mechanism is very neat and solves the problem of reliably publishing events whenever the state change occurs, it introduces a new programming style unfamiliar to many developers and additional complexity around state reconstruction and message compaction, which require specialized data stores.</p>
<h3>Benefits and drawbacks of choreography</h3>
<p>Regardless of the mechanism used to retrieve data changes, the choreography approach decouples writes, allows independent service scalability, and improves overall system resiliency. The downside of this approach is that the flow of decision-making is decentralized and it is hard to discover the globally distributed state. Discovering the state of a request requires querying multiple data sources which can be challenging with a large number of services. Table 4 summarizes the benefits and drawbacks of this approach.</p>
<table border="1" cellpadding="1" cellspacing="1" style="width: 500px;">
<caption>Table 4: Benefits and drawbacks of choreography.</caption>
<tbody>
<tr>
<td><b>Benefits</b></td>
<td>
<ul><li>Decouples implementation and interaction.</li><li>No central transaction coordinator.</li><li>Improved scalability and resilience characteristics.</li><li>Near real-time interactions.</li><li>Less overhead on the system with Debezium and similar tools.</li></ul>
</td>
</tr>
<tr>
<td><b>Drawbacks</b></td>
<td>
<ul><li>The global system state and coordination logic is scattered across all participants.</li><li>Eventual consistency.</li></ul>
</td>
</tr>
<tr>
<td><b>Examples</b></td>
<td>
<ul><li>Homegrown database or API polling implementations.</li><li>The outbox pattern</li><li>Choreography based on the Saga pattern</li><li><a href="https://debezium.io/blog/2020/02/10/event-sourcing-vs-cdc/">event sourcing</a></li><li><a href="https://eventuate.io/">Eventuate</a></li><li><a href="https://github.com/debezium/debezium">Debezium</a></li><li><a href="https://github.com/zendesk/maxwell">Zendesk's Maxwell</a></li><li><a href="https://github.com/alibaba/canal">Alibaba's Canal</a></li><li><a href="https://github.com/linkedin/Brooklin/">Linkedin's Brooklin</a></li><li><a href="https://axoniq.io/">Axon Framework</a></li><li><a href="https://www.eventstore.com/eventstoredb">EventStoreDB</a></li></ul>
</td>
</tr>
</tbody>
</table>
<h2>Parallel pipelines</h2>
<p>With the choreography pattern, there is no central place to query the state of the system, but there is a sequence of services that propagates the state through the distributed system. Choreography creates a sequential pipeline of processing services, so we know that when a message reaches a certain step of the overall process, it has passed all the previous steps. What if we could loosen this constraint and process all the steps independently? In this scenario, Service B could process a request regardless of whether Service A had processed it or not.</p>
<p>With parallel pipelines, we add a router service that accepts requests and forwards them to Service A and Service B through a message broker in a single local transaction. From this step onward, as shown in Figure 10, both services can process the requests independently and in parallel.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtevT0Uj-pjkIDI4rmEqzjcp-ShO7Ozls2rI2VgDQwVrucRA6REhBkSAuxEiapo-x6PhFM9hVCLVgZxSUrZu3HrIJ0kvvpEz0kYo9fMzZBmXP_sDsQurDb9gOp--3AFThZ7fVtFcBkZ_4vy9XBNWx0nRieA2ILEdN73edG0v_4T87BDUEDiR-zXdxhzg/s840/8.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="840" data-original-width="600" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtevT0Uj-pjkIDI4rmEqzjcp-ShO7Ozls2rI2VgDQwVrucRA6REhBkSAuxEiapo-x6PhFM9hVCLVgZxSUrZu3HrIJ0kvvpEz0kYo9fMzZBmXP_sDsQurDb9gOp--3AFThZ7fVtFcBkZ_4vy9XBNWx0nRieA2ILEdN73edG0v_4T87BDUEDiR-zXdxhzg/s320/8.png" width="229" /></a></div><p></p><p>Figure 10: Processing through parallel pipelines.</p><div aria-label="8.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="3" data-cke-widget-wrapper="1" role="region" tabindex="-1"><div class="rhd-c-figure" style="position: relative;"><article class="media media--type-image media--view-mode-article-content"><div class="field field--name-field-caption field--type-string field--label-hidden field__items">
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While this pattern is very simple to implement, it is only applicable to situations where there is no temporal binding between the services. For example, Service B should be able to process the request regardless of whether Service A has processed the same request. Also, this approach requires an additional router service or the client being aware of both Service A and B for targeting the messages.</div>
<h3>Listen to yourself</h3>
<p>There is a lighter alternative to this approach, known as the <a href="https://medium.com/@odedia/listen-to-yourself-design-pattern-for-event-driven-microservices-16f97e3ed066">Listen to yourself</a> pattern, where one of the services also acts as the router. With this alternative approach, when Service A receives a request, it would not write to its database but would instead publish the request into the messaging system, where it is targeted to Service B, and to itself. Figure 11 illustrates this pattern. <br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwGwCVGdK-csuqNbrxM9VsOBinA33gypCVrTVu8dzvJMCax8VPBgU8t-k9vIf30-gcAV0Bl0j34b63yyrcIV52bszrm_s8gq87yle27cPCyNBUH_c1r0Sywoj1isLBc2TbYjcqrAhPJntwxR1cbmlaOVoLbxaQ8SRRwhfs7b1N0WkP4oQaSE72FYLJRQ/s600/9_0.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="455" data-original-width="600" height="243" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwGwCVGdK-csuqNbrxM9VsOBinA33gypCVrTVu8dzvJMCax8VPBgU8t-k9vIf30-gcAV0Bl0j34b63yyrcIV52bszrm_s8gq87yle27cPCyNBUH_c1r0Sywoj1isLBc2TbYjcqrAhPJntwxR1cbmlaOVoLbxaQ8SRRwhfs7b1N0WkP4oQaSE72FYLJRQ/s320/9_0.png" width="320" /></a></div> Figure 11: The Listen to yourself pattern.<p></p><div aria-label="9.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="2" data-cke-widget-wrapper="1" role="region" tabindex="-1"><div class="rhd-c-figure" style="position: relative;"><article class="media media--type-image media--view-mode-article-content"><div class="field field--name-field-caption field--type-string field--label-hidden field__items">
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The reason for not writing to the database is to avoid dual writes. Once a message is in the messaging system, the message goes to Service B, and also it goes to back Service A in a completely separate transaction context. With that twist of the processing flow, Service A, and Service B can independently process the request and write to their respective databases.</div>
<h3>Benefits and drawbacks of parallel pipelines</h3>
<p>Table 5 summarizes the benefits and drawbacks of using parallel pipelines.</p>
<table border="1" cellpadding="1" cellspacing="1" style="width: 500px;">
<caption>Table 5: Benefits and drawbacks of parallel pipelines.</caption>
<tbody>
<tr>
<td><b>Benefits</b></td>
<td>Simple, scalable architecture for parallel processing.</td>
</tr>
<tr>
<td><b>Drawbacks</b></td>
<td>Requires temporal dismantling; hard to reason about the global system state.</td>
</tr>
<tr>
<td><b>Examples</b></td>
<td>Apache Camel’s multicast and splitter with parallel processing.</td>
</tr>
</tbody>
</table>
<h2>How to choose a distributed transactions strategy</h2>
<p>As you might have already guessed from this article, there is no right or wrong pattern for handling distributed transactions in a microservices architecture. Every pattern has its pros and cons. Each pattern solves some problems while generating others in turn. The chart in Figure 12 offers a short summary of the main characteristics of the dual write patterns I've discussed.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgg8OKTLxCE10wH3yVJZE48JZY9Q-Hnejk5ZGFsSX9s2WMiNl0rtiG-pn2hIWgCjTAL52HVXGLJM6cbnF7xBB95BTbwg86rrPeaaQ8szmlUlNgaBacjn9vemDdKYDu-OmTc1nbFbdPgb-18P6pS_a5km58UrTP0hSGfY9MXRPNlJCty286LEuP_qgQMQQ/s1440/10.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="630" data-original-width="1440" height="140" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgg8OKTLxCE10wH3yVJZE48JZY9Q-Hnejk5ZGFsSX9s2WMiNl0rtiG-pn2hIWgCjTAL52HVXGLJM6cbnF7xBB95BTbwg86rrPeaaQ8szmlUlNgaBacjn9vemDdKYDu-OmTc1nbFbdPgb-18P6pS_a5km58UrTP0hSGfY9MXRPNlJCty286LEuP_qgQMQQ/s320/10.png" width="320" /></a></div> Figure 12: Characteristics of dual write patterns.<p></p><div aria-label="10.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="1" data-cke-widget-wrapper="1" role="region" tabindex="-1"><div class="rhd-c-figure" style="position: relative;"><article class="media media--type-image media--view-mode-article-content-full-width"><div class="field field--name-field-caption field--type-string field--label-hidden field__items">
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Whatever approach you choose, you will need to explain and document the motivation behind the decision and the long-lasting architectural consequences of your choice. You will also need to get support from the teams that will implement and maintain the system in the long term. I like to organize and evaluate the approaches described in this article based on their data consistency and scalability attributes, as shown in Figure 13.</div><div aria-label="10.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="1" data-cke-widget-wrapper="1" role="region" tabindex="-1"> </div><div aria-label="10.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="1" data-cke-widget-wrapper="1" role="region" tabindex="-1"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYx9D-X6FmMjdioLOJYSfzHCztKRKQIvg6ddomUJoNzhWFqyERkoosLBP5oDMI7WvpSgNNgZ21wbFeAo1WhGjEDpZ23Xf2A1Vy1MWFhBioRTKOY21utsN9i5xNi9FzVbKwZmQgkQjLQIJLmqq2F7lUHbEn_8j_biBuyLoJc2jLK6CZaTJmIIsECwY8eg/s1432/11.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="730" data-original-width="1432" height="163" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYx9D-X6FmMjdioLOJYSfzHCztKRKQIvg6ddomUJoNzhWFqyERkoosLBP5oDMI7WvpSgNNgZ21wbFeAo1WhGjEDpZ23Xf2A1Vy1MWFhBioRTKOY21utsN9i5xNi9FzVbKwZmQgkQjLQIJLmqq2F7lUHbEn_8j_biBuyLoJc2jLK6CZaTJmIIsECwY8eg/s320/11.png" width="320" /></a></div><br /> Figure 13: Relative data consistency and scalability characteristics of dual write patterns.</div>
<p>As a good starting point, we could evaluate the various approaches from the most scalable and highly available to the least scalable and available ones.</p>
<h3>High: Parallel pipelines and choreography</h3>
<p>If your steps are temporarily decoupled, then it could make sense to run them in a parallel pipelines method. The chances are you can apply this pattern for certain parts of the system, but not for all of them. Next, assuming there is a temporal coupling between the processing steps, and certain operations and services have to happen before others, you might consider the choreography approach. Using service choreography, it is possible to create a scalable, event-driven architecture where messages flow from service to service through a decentralized orchestration process. In this case, Outbox pattern implementations with Debezium and Apache Kafka (such as <a href="https://developers.redhat.com/products/red-hat-openshift-streams-for-apache-kafka/getting-started">Red Hat OpenShift Streams for Apache Kafka</a>) are particularly interesting and gaining traction.</p>
<h3>Medium: Orchestration and two-phase commit</h3>
<p>If choreography is not a good fit, and you need a central point that is responsible for coordination and decision making, then you would consider orchestration. This is a popular architecture, with standard-based and custom open source implementations available. While a standard-based implementation may force you to use certain transaction semantics, a custom orchestration implementation allows you to make a trade-off between the desired data consistency and scalability.</p>
<h3>Low: Modular monolith</h3>
<p>If you are going further left in the spectrum, most likely you have a very strong need for data consistency and you are ready to pay for it with significant tradeoffs. In this case, distributed transactions through two-phase commits will work with certain data sources, but they are difficult to implement reliably on dynamic cloud environments designed for scalability and high availability. In that case, you can go all the way to the good old modular monolith approach, accompanied by practices learned from the microservices movement. This approach ensures the highest data consistency but at the price of runtime and data source coupling.</p>
<h2>Conclusion</h2>
<p>In a sizable distributed system with tens of services, there won’t be a single approach that works for all, but a few of these combined and applied for different contexts. You might have a few services deployed on a shared runtime for exceptional requirements around data consistency. You might choose a two-phase commit for integration with a legacy system that supports JTA. You might orchestrate a complex business process, and also use choreography and parallel processing for the rest of the services. In the end, it doesn't matter what strategy you pick; what matters is choosing a strategy deliberately for the right reasons, and executing it.</p><p><i>This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/articles/2021/09/21/distributed-transaction-patterns-microservices-compared#" target="_blank">here</a>. </i><br /></p>
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-10495071070669789022022-04-05T09:42:00.000+01:002022-04-05T09:42:16.565+01:00Turning Microservices Inside-Out<p style="text-align: left;">There is a fantastic talk by Martin Kleppmann called “<a href="https://martin.kleppmann.com/2015/11/05/database-inside-out-at-oredev.html">Turning the database inside-out</a>”. Once watched, it can change your perspective on databases and event logs irreversibly. While I agree with the outlined limitations of databases and the benefits of event logs, I’m not convinced of the practicality of replacing databases with event logs. I believe the same design principles used for turning databases inside-out, should instead be applied at a higher, service design level to ensure microservices stream changes from inside-out. With that twist, within the services, we can keep using traditional databases for what they are best for - efficiently working with mutable state and also use event logs to reliably propagate changes among services. With the help of frameworks such as Debezium which can act as a connecting tissue between databases and event logs, we can benefit from the time-tested and familiar database technology and modern event logs such as Red Hat’s managed <a href="https://developers.redhat.com/products/red-hat-openshift-streams-for-apache-kafka/getting-started">Apache Kafka service</a> at the same time. This inside-out mindset requires a deliberate focus on offering outbound APIs in microservices to stream all relevant state change and domain events from within the service to the outside world. This merge of microservices movement with the event driven emerging trends is what I call turning the microservices data inside-out.<br /></p><h2 style="text-align: left;">Microservices API types</h2><p style="text-align: left;"></p><p>To build up this idea, I will look into microservices from the point of different API types they provide and consume. A common way to describe microservices is as independently deployed components, built around a business domain, that own their data and are exposed over APIs. That is very similar to how databases are described in the post mentioned above - a black box with a single API that goes in and out.</p><p style="text-align: left;"><br /><img alt="Data flowing from microservices’ inbound to outbound APIs" height="182" src="https://lh4.googleusercontent.com/1WBjzEKsUDS_bZXvOWWqrdkD9uRdXrIZ7Gu9v9eJoeKby3IvYnbDfcgbIs37tWHjF3Q37JXehYXdzYbubqwm8s6VO5J8Q9yuoY6Yu5_j_ckVqJQGKNYmCWvw_RV3gQQlxSilrqI7=w400-h182" title="Data flowing from microservices’ inbound to outbound APIs" width="400" /> <br /></p><p style="text-align: left;"><i>Data flowing from microservices’ inbound to outbound APIs</i><br /></p><p style="text-align: left;">I believe a better way to think about microservices would be one where every microservice is composed of inbound and outbound APIs where the data flows through and a meta API that describes these APIs. While inbound APIs are well known today, outbound APIs are not used as much, and the responsibilities of meta API are spread around various tools and proliferating microservices technologies. To make the inside-out approach work, we need to make outbound and meta APIs first-class microservices constructs and improve the tooling and practices around these areas. <br /></p><h3 style="text-align: left;">Inbound APIs</h3><p style="text-align: left;">Inbound APIs are what every microservice has today in the form of service endpoints. These APIs are outside-in, and they allow outside systems to interact with the service directly through commands and queries or indirectly through events. <br /><br /><img alt="Inbound APIs are the norm in microservices today" height="106" src="https://lh3.googleusercontent.com/WtaSi1_53Z8exnUZsMMP8IGrYtzlKJYS8ptRsd7o7LxFguDnDpD017o1G7wpi8sJDvG9p-LofwtwfAAe_-CCJP_UiQ9nj9xzaXD_idST96z-O4ALA6I8dMbY-oRcvqedmgRGWfm_=w400-h106" title="Inbound APIs are the norm in microservices today" width="400" /><br /></p><p style="text-align: left;"><i>Inbound APIs are the norm in microservices today</i><br /></p><p style="text-align: left;">In terms of implementation, these are typically REST-based APIs that offer mutating or read-only operations for synchronous operations, fronted by a load balancing gateway. These can also be implemented as queues for asynchronous command-based interactions, or topics for event-based interactions. The responsibilities and governance of these APIs are well understood and they form the majority of the microservices API landscape today.<br /></p><h3 style="text-align: left;">Outbound APIs<br /></h3><p style="text-align: left;">What I refer to as outbound APIs here are the interactions that originate from within the service and go to outside services and systems. The majority of these are queries and commands initiated by the service and targeted to dependent services owned by somebody else. What I also put under this category are the outbound events that originate from within the service. Outbound events are different from the query and commands targeted for a particular endpoint because an outbound event is defined by the service without concrete knowledge of the existing and possible future recipients. Regardless of the indirect nature of the API, there is still the expectation that these events are generated predictably and reliably for any significant change that happens within the service (typically caused by inbound interactions). Today, outbound events are often an afterthought. They are either created for the needs of a specific consumer that depends on them, or they are added later in the service lifecycle, not by the service owners but other teams responsible for data replication. On both occasions, the possible use cases of outbound events remain low and diminish its potential.<br /><br />The challenging part with outbound events is implementing a uniform and reliable notification mechanism for any change that happens within the service. To apply this approach uniformly in every microservice and for any kind of database, the tools here have to be non-intrusive and developer-friendly. Not having good frameworks that support this pattern, not having proven patterns, practices, and standards are impediments preventing the adoption of outbound events as a common top-level microservices construct.<br /><br /><img alt="Outbound events implemented through change data capture" height="171" src="https://lh4.googleusercontent.com/o6UxC3TIiNJOKvbbGpH799yvnij71jMxXvY5Blnw6gkSwtFxe1IBXPilCR0IbAAwGW_p3mzp4mTdBGtFVLRzR9bdQ7eRmUaH6JSkDpwTJm2yBPy55hywGTbfF9DSEUh0gw0xA9ME=w400-h171" title="Outbound events implemented through change data capture" width="400" /><i></i></p><p style="text-align: left;"><i>Outbound events implemented through change data capture</i></p><p style="text-align: left;">To implement outbound events, you can include the logic of updating a database and publishing an event to a messaging system in your application code but that leads to the well-known <a href="https://events.summit.redhat.com/widget/redhat/sum21/sessioncatalog/session/1607126048915001oL4X">dual-write problem</a>. Or you could try to replace the traditional database with an event log, or use specialized event sourcing platforms. But if you consider that your most valuable resources in a project are the people and their proven tools and practices, replacing a fundamental component such as the database with something different will have a significant impact. A better approach would be to keep using the relational databases and all the surrounding tools and practices that have served fine for decades and complement your database with a connecting tissue such as Debezium (disclaimer: I’m the product manager for Debezium at Red Hat and I’m biased about it). I believe the best implementation approach for outbound events is the <a href="https://debezium.io/blog/2019/02/19/reliable-microservices-data-exchange-with-the-outbox-pattern/">outbox pattern</a> which uses a single transaction to both perform the normal database update dictated by the service logic and insert a message into a specific outbox table within the same database. Once the transaction is written to the database’s transaction log, Debezium picks up the outbox message from the log and sends it to Apache Kafka. This has nice properties such as "read your own writes" semantics, where a subsequent query to the service returns the newly persisted record and at the same time, we get reliable, asynchronous, propagation of changes via Apache Kafka. Debezium can selectively capture changes from the database transaction logs, transform and publish them into Kafka in a uniform way acting as an outbound eventing interface of the services. Debezium can be embedded into the Java application runtimes as a library, or decoupled as a <a href="https://developers.redhat.com/blog/2020/05/11/top-10-must-know-kubernetes-design-patterns">sidecar</a>. It is a plug-and-play component you add to your service regardless of whether it is a legacy service or created from scratch. It is the missing configuration-based outbound eventing API for any service.<br /></p><h3 style="text-align: left;">Meta APIs<br /></h3><p style="text-align: left;">Today meta APIs describe the inbound and outbound APIs, enabling their governance, discovery, and consumption. They are implemented in siloed tools around a specific technology. In my definition, an OpenAPI definition for a REST endpoint published to an API portal is an example of meta API. An AsyncAPI definition for a messaging topic that is published to a schema registry is an example of meta API too. The schema change topic that Debezium publishes database schema change events (which are different from the data change events) is an example of meta API. There are various capabilities in other tools that describe the data structures and the APIs serving them that can all be classified as meta APIs. So in my definition, meta APIs are all the artifacts that allow different stakeholders to work with the service and enable other systems to use the inbound and outbound APIs.<br /><br /><img alt="The evolving responsibilities of Meta APIs" height="194" src="https://lh5.googleusercontent.com/vRXE5IQXFXTp38kmF2SgXBCtLc0-WDYFDa-A_k_fZn1xygs5j9Ng8ZSPmDPGtzUI9FxlCo6khn7UJERlZ6QY0849kowjxA8Q59cz47glBGKpy_5eaoZwr6stp9ZYLBWorz3bE7pN=w400-h194" title="The evolving responsibilities of Meta APIs" width="400" /><br /></p><p style="text-align: left;"><i>The evolving responsibilities of Meta APIs</i><br /></p><p style="text-align: left;">One of the fundamental design principles of microservices is to make them independently updatable and deployable. But today there are still significant amounts of coordination required among service owners for upgrades that involve API changes. Service owners need better meta API tools to subscribe for updates from dependent services and prepare to change timely. The meta API tools need to be integrated deeper into development and operational activities to increase agility. Meta API tools today are siloed, passive, and disparate across the technology stack. Instead, meta tools need to reflect the changing nature of service interactions towards an event-driven approach and play a more proactive role in automating some of the routine tasks of the development and operational teams.<br /></p><h2 style="text-align: left;">Emerging trends</h2><p style="text-align: left;"></p><h3 style="text-align: left;">The rise of outbound events<br /></h3><p style="text-align: left;">Outbound events are already present as the preferred integration method for most modern platforms. Most cloud services emit events. Many data sources (such as Cockroach changefeeds, MongoDB change streams) and even file systems (for example Ceph <a href="https://docs.ceph.com/en/latest/radosgw/notifications/">notifications</a>) can emit state change events. Custom-built microservices are not an exception here. Emitting state change or domain events is the most natural way for modern microservices to fit uniformly among the event-driven systems they are connected to in order to benefit from the same tooling and practices. Outbound events are bound to become a top-level microservices design construct for many reasons. Designing services with outbound events can help replicate data during an <a href="https://developers.redhat.com/articles/2021/06/08/application-modernization-patterns-apache-kafka-debezium-and-kubernetes">application modernization</a> process. Outbound events are also the enabler for implementing elegant inter-service interactions through the Outbox Patterns and complex business transactions that span multiple services using a non-blocking <a href="https://www.infoq.com/articles/saga-orchestration-outbox/">Saga</a> implementation. Outbound events fit nicely into the <a href="https://martinfowler.com/articles/data-monolith-to-mesh.html">Distributed Data Mesh</a> architecture where a service is designed with its data consumers in mind. Data mesh claims that for data to fuel innovation, its ownership must be federated among domain data owners who are accountable for providing their data as products… In short, rather than having a centralized data engineering team to replicate data from every microservice through an ETL process, it is better if microservices are owned jointly with developers and data engineers and design the services to make the data available in the first place. What better way to do that than outbound events with real-time data streaming through Debezium, Apache Kafka, and Schema Registry.<br /><br />To sum up, outbound events align microservices with the Unix philosophy where “the output of every program becomes the input of a yet unknown program”. To future proof your services, you have to design them in a way to let the data flow from inbound to outbound APIs. This allows all the services to be developed and operated uniformly using modern event-oriented tools and patterns, and unlocks yet unknown future uses of data exposed through events.<br /></p><h3 style="text-align: left;">Convergence of meta API tools<br /></h3><p style="text-align: left;">With the increasing adoption of event-driven architectures and faster pace of service evolution, the responsibilities and the importance of meta APIs are growing too. The scope of meta API tools is no longer limited to <a href="https://developers.redhat.com/products/red-hat-openshift-api-management/overview">synchronous APIs</a> but includes asynchronous APIs too. The meta APIs are expanding towards enabling faster development cycles by ensuring safe schema evolution through compatibility checks, notifications for updates, code generation for bindings, test simulations, and so forth. As a consumer of a service, I want to discover existing endpoints and data formats, the API compatibility rules, limits, and SLAs the service complies with in one place. At the same time, I want to get notifications for any changes that are coming, any deprecations, updates to the APIs, or any new APIs the service is going to offer that might be of interest to me. Not only that, developers are challenged to ship code faster and faster, and modern API tools can automate the process of schema and event structure discovery. Once a schema is discovered and added to the registry, a developer can quickly generate code bindings for their language and start developing in an IDE. Then, other tools could use the meta API definitions and generate tests and mocks, and simulate load by emitting dummy events with something like <a href="https://microcks.io/">Microcks</a> or even <a href="https://www.postman.com/">Postman</a>. At runtime, the contextual information available in the meta APIs can enable the platforms I’m running the application on to inject the <a href="https://github.com/redhat-developer/service-binding-operator">connection credentials</a>, register it with monitoring tools, and so on. <br /><br />Overall, the role of meta API is evolving towards playing a more active role in the asynchronous interaction ecosystem by automating some of the coordination activities among service owners, increasing developer productivity, and automating operations teams’ tasks. And for that to become a reality, the different tools containing API metadata, code generation, test stimulation, environment management must converge, standardize and integrate better.<br /></p><h3 style="text-align: left;">Standardization of the event-driven space<br /></h3><p style="text-align: left;">While event-driven architecture (EDA) has a long history, recent drivers such as cloud adoption, microservices architecture, and a faster pace of change have amplified the relevance and adoption of EDA. Similar to the consolidation and the standardization that happens with Kubernetes and its ecosystem on the platform space, there is a consolidation and community-driven standardization that is happening in the event-driven space around Apache Kafka. Let see a few concrete examples.<br /><br />Apache Kafka has reached the point of becoming the de facto standard platform for event streaming, the same way AWS S3 is for object store, and Kubernetes is for container orchestration. Kafka has a huge community behind, a large open source ecosystem of tools and services, and possibly the largest adoption as eventing infrastructure by modern digital organizations. There are all kinds of self-hosted Kafka offerings, managed services by boutique companies, cloud providers, and recently by Red Hat too (Red Hat OpenShift Streams for Apache Kafka is a managed <a href="https://developers.redhat.com/products/red-hat-openshift-streams-for-apache-kafka/getting-started">Kafka service</a> I’m involved with and I’d love to hear your feedback). Kafka as an API for log-based messaging is so widespread that even non-Kafka projects such as Pulsar, Red Panda, Azure Event Hubs offer compatibility with it. Kafka today is more than a 3rd party architectural dependency. Kafka influences how services are designed and implemented, it dictates how systems are scaled and made highly available, it drives how the users consume the data in real-time. But Kafka alone is like a bare Kubernetes platform without any pods. Let’s see what else in the Kafka ecosystem is a must-have complement and is becoming a de facto standard too.<br /><br />A Schema Registry is as important for asynchronous APIs as an API manager is for synchronous APIs. In many streaming scenarios, the event payload contains structured data that both the producer and consumer need to understand and validate. A schema registry provides a central repository and a common governance framework for schema documents and enables applications to adhere to these contracts. Today there are registries such as Apicurio by Red Hat, <a href="https://github.com/aiven/karapace">Karapace</a> by Aiven, registries by Cloudera, <a href="https://lenses.io/">Lenses</a>, Confluent, Azure, AWS, and more. While schema repositories are increasing in popularity and consolidating in the capabilities and practices around schema management, at the same time they vary in licensing restrictions. Not only that, schema registries tend to leak into client applications in the form of Kafka Serializer/Deserializer (SerDes), converters, and other client dependencies. So the need for an open and vendor-neutral standard where the implementations can be swapped has been apparent for a while. And the good news is that Schema Registry API <a href="https://github.com/cloudevents/spec/blob/master/schemaregistry/schemaregistry.md">standard proposal</a> exists in CNCF and few registries such <a href="https://www.apicur.io/">Apicurio</a> and <a href="https://docs.microsoft.com/en-us/azure/event-hubs/schema-registry-overview">Azure Schema Registry</a> have already started to follow it. Complementing the open source Kafka API with an open source service registry API and common governance practices feels right and I expect the adoption and consolidation in this space to grow to make the whole meta API concept a cornerstone of event-driven architectures.<br /><br />Similar to EDA, the concept of Change Data Capture (<a href="https://www.redhat.com/en/topics/integration/what-is-change-data-capture">CDC</a>) is not new. But the recent drivers around event-driven systems and the increasing demand for access to real-time data are building the momentum for transaction-log-driven event streaming tools. Today, there are many closed source, point-and-click tools (such as Striim, HVR, Qlik) that rely on the same transaction log concept to replicate data point-to-point. There are cloud services such as AWS DMS, Oracle GoldenGate Cloud Service and Google Datastream that will stream your data into their services (but never in the opposite direction). There are many databases, key-value stores that stream changes too. The need for an open source and vendor-neutral CDC standard that different vendors can follow and downstream change-event consumers can rely on is growing. To succeed, such a standard has to be managed on a vendor-neutral foundation and be part of a larger related ecosystem. The closest thing that exists today is CNCF which is already home to AsyncAPI, <a href="https://cloudevents.io/">CloudEvents</a>, Schema Registry, and <a href="https://serverlessworkflow.io/">Serverless Workflow</a> specifications too. Today, by far, the leading open source project in the CDC space is Debezium. Debezium is <a href="https://debezium.io/community/users/">used</a> by major companies, embedded into cloud services from Google, Heroku, Confluent, Aiven, Red Hat, embedded into multiple open source projects, and used by many proprietary solutions that we won’t ever know about. If you are looking for a standard in this domain, the closest de facto standard is Debezium. To clarify, with a CDC standard I don’t mean an API for data sources to emit changes. I mean standard conventions for data sources and connecting tissues such as Debezium to follow when converting database transaction logs into events. That includes data mapping (from database field types into JSON/Avro types), data structures (for example Debezium’s Before/After message structure), <a href="https://debezium.io/documentation/reference/features.html">snapshotting</a>, partitioning of tables into topics, and primary keys into topic partitions, transaction <a href="https://debezium.io/documentation/reference/connectors/postgresql.html#postgresql-transaction-metadata">demarcation</a> indicators, and so forth. If you are going heavy on CDC, using Debezium will ensure consistent semantics for mapping from database transaction log entries into Apache Kafka events that are uniform across datasources. </p><p style="text-align: left;"><img alt="Specifications and implementation around the Apache Kafka ecosystemSpecifications and implementation around the Apache Kafka ecosystem" height="199" src="https://lh3.googleusercontent.com/_5YEQ7nUFR9NGSn_M2drQNTHiKZKoDxSzI8hlXIq59d7q-f6HyPGEsKjAjJrXSfxjj31uaTGLPqC_DcvxCz9QFJpA3fmZYpHLeOhevOWucyYrFvNpbMh_yV3NDnB1qp9yh_mcgAk=w400-h199" title="Specifications and implementation around the Apache Kafka ecosystem" width="400" /></p><p style="text-align: left;"><i> Specifications and implementation around the Apache Kafka ecosystem</i></p><p style="text-align: left;">There are already a few existing specifications from the event-driven space at CNCF that are gaining traction. <br /></p><ul style="text-align: left;"><li><a href="https://www.asyncapi.com/">AsyncAPI</a> is OpenAPI’s equivalent for event-driven applications that recently joined CNCF. It offers a specification to document your event-driven systems to maintain consistency, and governance across different teams and tools.</li><li>CloudEvents (also part of CNCF) aims to eliminate the metadata challenge by specifying mandatory metadata information into what could be called a standard envelope. It also offers libraries for multiple programming languages for multiple protocols, which streamlines interoperability.</li><li><a href="https://opentelemetry.io/">OpenTelemetry</a> (another CNCF sandbox project) standardizes the creation and management of trace information that reveals the end-to-end path of events through multiple applications.</li><li>CNCF Serverless Workflow is a vendor-neutral spec for coordination asynchronous stateless and stateful interaction. </li><li>The service registry proposal in CNCF we discussed above...<br /></li></ul><p style="text-align: left;">Whether we call it standardization, community adoption or something else, we cannot deny the consolidation process around event-driven constructs and the rise of some open source projects as de facto standards.<br /></p><h2 style="text-align: left;">Summary<br /></h2><p>Microservices are focused around the encapsulation of data that belongs to a business domain and exposing it over a minimal API as possible. But that is changing. Data going out of a service is as important as data going into it. Exposing data in microservices can no longer be an afterthought. Siloed and inaccessible data wrapped in a highly decoupled microservice are of limited value. There are new users of data and possible yet unknown users that will demand access to discoverable, understandable, real-time data. To satisfy the needs of these users, microservices have to turn data inside-out and be designed with outbound APIs that can emit data and meta APIs that make the consumption of data a self-service activity. Projects such as Apache Kafka, Debezium and schema registries are a natural enabler of this architecture and with the help of the various open source asynchronous specifications are turning into de facto choice for implementing future-proof event-driven microservices.<i> </i></p><p><i>This article was originally published on InfoQ <a href="https://www.infoq.com/articles/microservices-inside-out/" target="_blank">here</a>.</i></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-25853735320520595882022-03-30T11:17:00.001+01:002022-03-30T11:17:53.800+01:00Which is better: A monolithic Kafka cluster vs many? <p>Apache Kafka is designed for
performance and large volumes of data. Kafka's append-only log format,
sequential I/O access, and zero copying all support high throughput with
low latency. Its partition-based data distribution lets it scale
horizontally to hundreds of thousands of partitions.</p>
<p>Because of these capabilities, it can be tempting to use a single
monolithic Kafka cluster for all of your eventing needs. Using one
cluster reduces your operational overhead and development complexities
to a minimum. But is "a single Kafka cluster to rule them all" the ideal
architecture, or is it better to split Kafka clusters?</p>
<p>To answer that question, we have to consider the segregation
strategies for maximizing performance and optimizing cost while
increasing Kafka adoption. We also have to understand the impact of
using <a href="https://developers.redhat.com/topics/kafka-kubernetes">Kafka as a service</a>,
on a public cloud, or managing it yourself on-premise (<i>Are you looking to experiment with Kafka? Get started in minutes with a no-cost <a href="https://developers.redhat.com/products/red-hat-openshift-streams-for-apache-kafka/getting-started">Kafka service trial</a>)</i>. This article
explores these questions and more, offering a structured way to decide
whether or not to segregate Kafka clusters in your organization. Figure 1 summarizes the questions explored in this article.</p><p> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg584J5mEOcdDl3MOec9FDpKdsdV7-SKYNTO8ZngB4G5F1iQS8cIXE5ZI4Nr0bi-KmmwLAvheqt7WBaVd3ZNhYT2gIimlliZXtcufyaNZCNGtPX9Ozs0Ki_JThKqfKyeIOA6rkuJR0FpUVyWniMqVtnVev2zF7tfwwFWc6IS25DiPuSsa9J-Hk6yGylSA/s1302/One_vs_multiple_Apache_Kafka_clusters_0.png" style="margin-left: 1em; margin-right: 1em;"><img alt="A mind map for Apache Kafka cluster segregation strategies" border="0" data-original-height="756" data-original-width="1302" height="373" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg584J5mEOcdDl3MOec9FDpKdsdV7-SKYNTO8ZngB4G5F1iQS8cIXE5ZI4Nr0bi-KmmwLAvheqt7WBaVd3ZNhYT2gIimlliZXtcufyaNZCNGtPX9Ozs0Ki_JThKqfKyeIOA6rkuJR0FpUVyWniMqVtnVev2zF7tfwwFWc6IS25DiPuSsa9J-Hk6yGylSA/w640-h373/One_vs_multiple_Apache_Kafka_clusters_0.png" title="A mind map for Apache Kafka cluster segregation strategies" width="640" /></a></div><br /><p></p><div class="field field--name-field-caption field--type-string field--label-hidden field__items"><i>Figure 1. A mind map for Apache Kafka cluster segregation
strategies shows the concerns that can drive a multiple-cluster setup.
</i></div><div class="field field--name-field-caption field--type-string field--label-hidden field__items"><h2 id="benefits_of_a_monolithic_kafka_cluster-h2">Benefits of a monolithic Kafka cluster</h2>
<p>To start, let's explore some of the benefits of using a single,
monolithic Kafka cluster. Note that by this I don't mean literally a
single Kafka cluster for all environments, but a single production Kafka
cluster for the entire organization. The different environments would
still typically be fully isolated with their respective Kafka clusters. A
single production Kafka cluster is simpler to use and operate and is a
no-brainer as a starting point.</p>
<h3>Global event hub</h3>
<p>Many companies are sold on the idea of having a single "Kafka
backbone" and the value they can get from it. The possibility of
combining data from different topics from across the company arbitrarily
in response to future and yet unknown business needs is a huge
motivation. As a result, some organizations end up using Kafka as a
centralized enterprise service bus (ESB) where they put all their
messages under a single cluster. The chain of streaming applications is
deeply interconnected.</p>
<p>This approach can work for companies with a small number of
applications and development teams, and with no hard departmental data
boundaries that are enforced in large corporations by business and
regulatory forces. (Note that this singleton Kafka environment expects
no organizational boundaries.)</p>
<p>The monolithic setup reduces thinking about event boundaries, speeds
up development, and works well until an operational or a process
limitation kicks in.</p>
<h3>No technical constraints</h3>
<p>Certain technical features are available only within a single Kafka
cluster. For example, a common pattern used by stream processing
applications is to perform read-process-write operations in a sequence
without any tolerances for errors that could lead to duplicates or loss
of messages. To address that strict requirement, Kafka offers
transactions that ensure that each message is consumed from the source
topic and published to a target topic in exactly-once processing
semantics. That guarantee is possible only when the source and target
topics are within the same Kafka cluster.</p>
<p>A consumer group, such as a <a href="https://kafka.apache.org/documentation/streams/">Kafka Streams-based application</a>,
can process data from a single Kafka cluster only. Therefore,
multi-topic subscriptions or load balancing across the consumers in a
consumer group are possible only within a single Kafka cluster. In a
multi-Kafka setup, enabling such stream processing requires data
replication across clusters.</p>
<p>Each Kafka cluster has a unique URL, a few authentication mechanisms,
Kafka-wide authorization configurations, and other cluster-level
settings. With a single cluster, all applications can make the same
assumptions, use the same configurations, and send all events to the
same location. These are all good technical reasons for sharing a single
Kafka cluster whenever possible.</p>
<h3>Lower cost of ownership</h3>
<p>I assume that you use Kafka because you have a huge volume of data,
or you want to do low latency asynchronous interactions, or take
advantage of both of these with added high availability—not because you
have modest data needs and Kafka is a fashionable technology. Offering
high-volume, low-latency Kafka processing in a production environment
has a significant cost. Even a lightly used Kafka cluster deployed for
production purposes requires three to six brokers and three to five
ZooKeeper nodes. The components should be spread across multiple
availability zones for redundancy.</p>
<p class="Indent1"><b>Note:</b> ZooKeeper <a href="https://cwiki.apache.org/confluence/display/KAFKA/KIP-500%3A+Replace+ZooKeeper+with+a+Self-Managed+Metadata+Quorum">will eventually be replaced</a>, but its role will still have to be performed by the cluster.</p>
<p>You have to budget for base compute, networking, storage, and
operating costs for every Kafka cluster. This cost applies whether you
self-manage a Kafka cluster on-premises with something like <a href="https://strimzi.io/">Strimzi</a>
or consume Kafka as a service. There are attempts at "serverless" Kafka
offerings that try to be more creative and hide the cost per cluster in
other cost lines, but somebody still has to pay for resources.</p>
<p>Generally, running and operating multiple Kafka clusters costs more
than a single larger cluster. There are exceptions to this rule, where
you achieve local cost optimizations by running a cluster at the point
where the data and processing happens or by avoiding replication of
large volumes of non-critical data, and so on. <br /></p><h2 id="benefits_of_multiple_kafka_clusters-h2">Benefits of multiple Kafka clusters</h2>
<p>Although Kafka can scale beyond the needs of a single team, it is not designed for <a href="https://www.redhat.com/en/topics/cloud-computing/what-is-multitenancy">multi-tenancy</a>.
Sharing a single Kafka cluster across multiple teams and different use
cases requires precise application and cluster configuration, a rigorous
governance process, standard naming conventions, and best practices for
preventing abuse of the shared resources. Using multiple Kafka clusters
is an alternative approach to address these concerns. Let's explore a
few of the reasons that you might choose to implement multiple Kafka
clusters.</p>
<h3>Operational decoupling</h3>
<p>Kafka's sweet spot is real-time messaging and distributed data
processing. Providing that at scale requires operational excellence.
Here are a few manageability concerns that apply to operating Kafka.</p>
<h4>Workload criticality</h4>
<p>Not all Kafka clusters are equal. A batch processing Kafka cluster
that can be populated from source again and again with derived data
doesn't have to replicate data into multiple sites for higher
availability. An ETL data pipeline can afford more downtime than a
real-time messaging infrastructure for frontline applications.
Segregating workloads by service availability and data criticality helps
you pick the most suitable deployment architecture, optimize
infrastructure costs, and direct the right level of operating attention
to every workload.</p>
<h4>Maintainability</h4>
<p>The larger a cluster gets, the longer it can take to upgrade and
expand the cluster due to rolling restarts, data replication, and
rebalancing. In addition to the length of the change window, the time
when the change is performed might also be important. A customer-facing
application might have an upgrade window that differs from a customer
service application. Using separate Kafka clusters allows faster
upgrades and more control over the time and the sequence of rolling out a
change.</p>
<h4>Regulatory compliance</h4>
<p>Regulations and certifications typically leave no room for
compromise. You might have to host a Kafka cluster on a specific cloud
provider or region. You might have to allow access only to support
personnel from a specific country. All personally identifiable
information (PII) data might have to be on a particular cluster with
short retention, separate administrative access, and network
segmentation. You might want to hold the data encryption keys for
specific clusters. The larger your company is, the longer the
requirements list gets.</p>
<h3>Tenant isolation</h3>
<p>The secret for happy application coexistence on a shared
infrastructure relies on having good primitives for access, resource,
and logical isolation. Unlike <a href="https://developers.redhat.com/topics/kubernetes">Kubernetes</a>,
Kafka has no concept like namespaces for enforcing quotas and access
control or avoiding topic naming collisions. Let's explore some of the
resulting challenges for isolating tenants.</p>
<h4>Resource isolation</h4>
<p>Although Kafka has mechanisms to control resource use, it doesn't
prevent a bad tenant from monopolizing the cluster resources. Storage
size can be controlled per topic through retention size, but cannot be
limited for a group of topics corresponding to an application or tenant.
Network utilization can be enforced through quotas, but it is applied
at the client connection level. There is no means to prevent an
application from creating an unlimited number of topics or partitions
until the whole cluster gets to a halt.</p>
<p>All of that means you have to enforce these resource control
mechanisms while operating at different granularity levels, and enforce
additional conventions for the healthy coexistence of multiple teams on a
single cluster. An alternative is to assign separate Kafka clusters to
each functional area and use cluster-level resource isolation.</p>
<h4>Security boundary</h4>
<p>Kafka's access control with the default authorization mechanism
(ACLs) is more flexible than the quota mechanism and can apply to
multiple resources at once through pattern matching. But you have to
ensure good naming convention hygiene. The structure for topic name
prefixes becomes part of your security policy.</p>
<p>ACLs control which users can perform which actions on which
resources, but a user with admin access to a Kafka instance has access
to all the topics in that Kafka instance. With multiple clusters, each
team can have admin rights only to their Kafka instance.</p>
<p>The alternative is to ask someone with admin rights to edit the ACLs
and update topics rights and such. Nobody likes having to open a ticket
to another team to get a project rolling.</p>
<h4>Logical decoupling</h4>
<p>A single cluster shared across multiple teams and applications with
different needs can quickly get cluttered and difficult to navigate. You
might have teams that need very few topics and others that generate
hundreds of them. Some teams might even generate topics on the fly from
existing data sources by <a href="https://www.infoq.com/articles/microservices-inside-out/">turning microservices inside-out</a>.
You might need hundreds of granular ACLs for some applications that are
less trusted, and coarse-grained ACLs for others. You might have a
large number of producers and consumers. In the absence of namespaces,
properties, and labels that can be used for logical segregation of
resources, the only option left is to use naming conventions creatively.</p>
<h3>Use case optimization</h3>
<p>So far we have looked at the manageability and multi-tenancy needs
that apply to most shared platforms in common. Next, we will look at a
few examples of Kafka cluster segregation for specific use cases. The
goal of this section is to list the long tail of reasons for segregating
Kafka clusters that varies for every organization and demonstrate that
there is no "wrong" reason for creating another Kafka cluster.</p>
<h4>Data locality</h4>
<p>Data has gravity, meaning that a useful dataset tends to attract
related services and applications. The larger a dataset is, the harder
it is to move around. Data can originate from a constrained or offline
environment, preventing it from streaming into the cloud. Large volumes
of data might reside in a specific region, making it economically
unfeasible to replicate the data to other locations. Therefore, you
might create separate Kafka clusters at regions, cloud providers, or
even <a href="https://developers.redhat.com/topics/edge-computing">at the edge</a> to benefit from data's gravitational characteristics.</p>
<h4>Fine-tuning</h4>
<p><i>Fine-tuning</i> is the process of precisely adjusting the
parameters of a system to fit certain objectives. In the Kafka world,
the primary interactions that an application has with a cluster center
on the concept of topics. And while every topic has separate and
fine-tuning configurations, there are also cluster-wide settings that
apply to all applications.</p>
<p>For instance, cluster-wide configurations such as redundancy factor
(RF) and in-sync replicas (ISR) apply to all topics if not explicitly
overridden per topic. In addition, some constraints apply to the whole
cluster and all users, such as the allowed authentication and
authorization mechanisms, IP whitelists, the maximum message size,
whether dynamic topic creation is allowed, and so on.</p>
<p>Therefore, you might create separate clusters for large messages,
less-secure authentication mechanisms, and other oddities to localize
and isolate the effect of such configurations from the rest of the
tenants.</p>
<h4>Domain ownership</h4>
<p>Previous sections described examples of cluster segregation to
address data and application concerns, but what about business domains?
Aligning Kafka clusters by business domain can enforce ownership and
give users more responsibilities. Domain-specific clusters can offer
more freedom to the domain owners and reduce reliance on a central team.
This division can also reduce cross-cluster data replication needs
because most joins are likely to happen within the boundaries of a
business domain.</p>
<h4>Purpose-built</h4>
<p>Kafka clusters can be created and configured for a particular use case. Some clusters might be born while <a href="https://developers.redhat.com/articles/2021/06/14/application-modernization-patterns-apache-kafka-debezium-and-kubernetes">modernizing existing legacy applications</a> and others created while implementing event-driven <a href="https://developers.redhat.com/articles/2021/09/21/distributed-transaction-patterns-microservices-compared">distributed transaction patterns</a>.
Some clusters might be created to handle unpredictable loads, whereas
others might be optimized for stable and predictable processing.</p>
<p>For example, <a href="https://medium.com/transferwise-engineering/running-kafka-in-kubernetes-part-1-why-we-migrated-our-kafka-clusters-to-kubernetes-722101a2e751">Wise uses separate Kafka clusters</a>
for stream processing with topic compaction enabled, separate clusters
for service communication with short message retention, and a logging
cluster for log aggregation. <a href="https://netflixtechblog.com/kafka-inside-keystone-pipeline-dd5aeabaf6bb">Netflix uses separate clusters</a>
for producers and consumers. The so-called fronting clusters are
responsible for getting messages from all applications and buffering,
while consumer clusters contain only a subset of the data needed for
stream processing.</p>
<p>These decisions for classifying clusters are based on high-level
criteria, but you might also have low-level criteria for separate
clusters. For example, to benefit from page caching at the
operating-system level, you might create a separate cluster for
consumers that re-read topics from the beginning each time. The separate
cluster would prevent any disruption of the page caches for real-time
consumers that read data from the current head of each topic. You might
also create a separate cluster for the odd use case of a single topic
that uses the whole cluster. The reasons can be endless.</p><p><span class="rhd-c-has-toc-target" id="summary"></span></p><h2 id="summary-h2">Summary</h2>
<p>The argument "one thing to rule them all" has been used for pretty
much any technology: mainframes, databases, application servers, ESBs,
Kubernetes, cloud providers, and so on. But generally, the principle
falls apart. At some point, decentralizing and scaling with multiple
instances offer more benefits than continuing with one centralized
instance. Then a new threshold is reached, and the technology cycle
starts to centralize again, which sparks the next phase of innovation.
Kafka is following this historical pattern.</p>
<p>In this article, we looked at common motivations for growing a
monolithic Kafka cluster along with reasons for splitting it out. But
not all points apply to all organizations in every circumstance. Every
organization has different business goals and execution strategies, team
structure, application architecture, and data processing needs. Every
organization is at a different stage of its <a href="https://cloud.redhat.com/">journey to the hybrid cloud</a>, a cloud-based architecture, edge computing, data mesh—you name it.</p>
<p>You might run on-premises Kafka clusters for good reason and give
more weight to the operational concerns you have to deal with.
Software-as-a-Service (SaaS) offerings such as <a href="https://developers.redhat.com/products/red-hat-openshift-streams-for-apache-kafka/getting-started">Red Hat OpenShift Streams for Apache Kafka</a>
can provision a Kafka cluster with a single click and remove the
concerns around maintainability, workload criticality, and compliance.
With such services, you might pay more attention to governance, logical
isolation, and controlling data locality.</p>
<p>If you have a reasonably sized organization, you will have hybrid and
multi-cloud Kafka deployments and a new set of concerns around
optimizing and reusing Kafka skills, patterns, and best practices across
the organization. These concerns are topics for another article.</p>
<p>I hope this guide provides a way to structure your decision-making process for segregating Kafka clusters. Follow me at <a href="https://twitter.com/bibryam">@bibryam</a> to join my journey of learning Apache Kafka.<i> </i>This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/articles/2022/03/10/which-better-single-kafka-cluster-rule-them-all-or-many" target="_blank">here</a>.</p></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-29639421373102071052022-03-27T12:23:00.002+01:002022-03-27T12:23:37.060+01:00Application modernization patterns with Apache Kafka, Debezium, and Kubernetes<p><span data-cke-copybin-start="1"></span><span id="cke_bm_168S" style="display: none;"></span>“<i>We build our computers the way we build our cities—over time, without a plan, on top of ruins.</i>”
</p><p>Ellen Ullman <a href="https://www.salon.com/1998/05/12/feature_321/" target="_blank">wrote this in 1998</a>, but it applies just as much today to the way we build modern applications; that is, over time, with short-term plans, on top of legacy software. In this article, I will introduce a few patterns and tools that I believe work well for thoughtfully modernizing legacy applications and building modern event-driven systems.</p>
<p class="Indent1"><b>Note</b>: If you prefer watch my talk on YouTube about <a href="https://www.youtube.com/watch?v=fF1uVTkw1BM" target="_blank">application modernization patterns</a> which this post is based on.<br /></p>
<h2>Application modernization in context</h2>
<p><i>Application modernization</i> refers to the process of taking an existing legacy application and modernizing its infrastructure—the internal architecture—to improve the velocity of new feature delivery, improve performance and scalability, expose the functionality for new use cases, and so on. Luckily, there is already a good classification of modernization and migration types, as shown in Figure 1.</p>
<div aria-label="Refactor with Debezium and Kafka; replatform with Windup; rehost with Kubernetes. image widget" class="cke_widget_wrapper cke_widget_block cke_widget_image cke_widget_selected" contenteditable="false" data-cke-display-name="image" data-cke-filter="off" data-cke-widget-id="10" data-cke-widget-wrapper="1" role="region" tabindex="-1">
<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage2_0.png%22%2C%22alt%22%3A%22Refactor%20with%20Debezium%20and%20Kafka%3B%20replatform%20with%20Windup%3B%20rehost%20with%20Kubernetes.%22%2C%22width%22%3A%22521%22%2C%22height%22%3A%22335%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%22bd301141-d506-42f5-81f9-d8e4d128dcec%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhlGm4n8_xTt23LN5hbKpzJmSfWE04XWaZax44_WwgcHyQBvzOiaIOyC9CDbkmx-QTY6i76yqhr9I6qJw-lCYPl-Bzic1wuGWxTQARO5-SKx9WMa3WAMvsqWUrs_iiVKtg3mFvb6Hj67Q2e/s684/image2_0.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 1: Three modernization types and the technologies we might use for them." border="0" data-original-height="440" data-original-width="684" height="258" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhlGm4n8_xTt23LN5hbKpzJmSfWE04XWaZax44_WwgcHyQBvzOiaIOyC9CDbkmx-QTY6i76yqhr9I6qJw-lCYPl-Bzic1wuGWxTQARO5-SKx9WMa3WAMvsqWUrs_iiVKtg3mFvb6Hj67Q2e/w400-h258/image2_0.png" title="Figure 1: Three modernization types and the technologies we might use for them." width="400" /></a></div><span class="cke_image_resizer" title="Click and drag to resize"></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 1: Three modernization types and the technologies we might use for them.</figcaption>
</figure>
<span class="cke_reset cke_widget_drag_handler_container" style="background-image: url(https://developers.redhat.com/core/assets/vendor/ckeditor/plugins/widget/images/handle.png); background: rgba(220, 220, 220, 0.5) none repeat scroll 0% 0%; display: none;"><img class="cke_reset cke_widget_drag_handler" data-cke-widget-drag-handler="1" height="15" role="presentation" src="data:image/gif;base64,R0lGODlhAQABAPABAP///wAAACH5BAEKAAAALAAAAAABAAEAAAICRAEAOw==" title="Click and drag to move" width="15" /></span></div>
<p>Depending on your needs and appetite for change, there are a few levels of modernization:</p>
<ul><li><b>Retention</b>: The easiest thing you can do is to retain what you have and ignore the application's modernization needs. This makes sense if the needs are not yet pressing.</li><li><b>Retirement</b>: Another thing you could do is retire and get rid of the legacy application. That is possible if you discover the application is no longer being used.</li><li><b>Rehosting</b>: The next thing you could do is to rehost the application, which typically means taking an application as-is and hosting it on new infrastructure such as cloud infrastructure, or even on Kubernetes through something like KubeVirt. This is not a bad option if your application cannot be containerized, but you still want to reuse your Kubernetes skills, best practices, and infrastructure to <a href="https://developers.redhat.com/blog/2021/04/29/containerize-net-for-red-hat-openshift-use-a-windows-vm-like-a-container" target="_blank">manage a virtual machine as a container</a>.</li><li><b>Replatforming</b>: When changing the infrastructure is not enough and you are doing a bit of alteration at the edges of the application without changing its architecture, replatforming is an option. Maybe you are changing the way the application is configured so that it can be containerized, or moving from a legacy Java EE runtime to an open source runtime. Here, you could use a tool like <a href="https://github.com/windup/windup/wiki" target="_blank">windup</a> to analyze your application and return a report with what needs to be done.</li><li><b>Refactoring</b>: Much application modernization today focuses on migrating monolithic, on-premises applications to a cloud-native microservices architecture that supports faster release cycles. That involves refactoring and rearchitecting your application, which is the focus of this article.</li></ul>
<p>For this article, we will assume we are working with a monolithic, on-premise application, which is a common starting point for modernization. The approach discussed here could also apply to other scenarios, such as a cloud migration initiative.</p>
<h3>Challenges of migrating monolithic legacy applications</h3>
<p>Deployment frequency is a common challenge for migrating monolithic legacy applications. Another challenge is scaling development so that more developers and teams can work on a common code base without stepping on each other’s toes. Scaling the application to handle an increasing load in a reliable way is another concern. On the other hand, the expected benefits from a modernization include reduced time to market, increased team autonomy on the codebase, and dynamic scaling to handle the service load more efficiently. Each of these benefits offsets the work involved in modernization. Figure 2 shows an example infrastructure for scaling a legacy application for increased load.</p>
<div aria-label="A flow diagram for refactoring a monolithic legacy application. image widget" class="cke_widget_wrapper cke_widget_block cke_widget_image cke_widget_selected" contenteditable="false" data-cke-display-name="image" data-cke-filter="off" data-cke-widget-id="9" data-cke-widget-wrapper="1" role="region" tabindex="-1">
<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage4.png%22%2C%22alt%22%3A%22A%20flow%20diagram%20for%20refactoring%20a%20monolithic%20legacy%20application.%22%2C%22width%22%3A%22552%22%2C%22height%22%3A%22227%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%226d134204-8ff9-42e5-aa44-07a79fdcf4bd%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><span class="cke_image_resizer" title="Click and drag to resize"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixSL6SSnTxbd73_8Z9VadwxdWXdMkklrg3kWcp3_97bKwVl8Tfibo1z_hoeOBWzPYWM92Xcmv7fYIRskVAj-i0HiZpI6rtlvJK1T_WpUNGNQGi6poL-YVxwlqbdlBUHFVjylKtVyNSHjOg/s1552/image4.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 2: Refactoring a legacy application into event-driven microservices." border="0" data-original-height="640" data-original-width="1552" height="165" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixSL6SSnTxbd73_8Z9VadwxdWXdMkklrg3kWcp3_97bKwVl8Tfibo1z_hoeOBWzPYWM92Xcmv7fYIRskVAj-i0HiZpI6rtlvJK1T_WpUNGNQGi6poL-YVxwlqbdlBUHFVjylKtVyNSHjOg/w400-h165/image4.png" title="Figure 2: Refactoring a legacy application into event-driven microservices." width="400" /></a></div></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 2: Refactoring a legacy application into event-driven microservices.</figcaption>
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<h3>Envisioning the target state and measuring success</h3>
<p>For our use case, the target state is an architectural style that follows microservices principles using open source technologies such as Kubernetes, <a href="https://developers.redhat.com/topics/kafka-kubernetes" target="_blank">Apache Kafka</a>, and Debezium. We want to end up with independently deployable services modeled around a business domain. Each service should own its own data, emit its own events, and so on.</p>
<p>When we plan for modernization, it is also important to consider how we will measure the outcomes or results of our efforts. For that purpose, we can use metrics such as lead time for changes, deployment frequency, time to recovery, concurrent users, and so on.</p>
<p>The next sections will introduce three design patterns and three open source technologies—Kubernetes, Apache Kafka, and Debezium—that you can use to migrate from brown-field systems toward green-field, modern, event-driven services. We will start with the Strangler pattern.</p>
<h2>The Strangler pattern</h2>
<p>The Strangler pattern is the most popular technique used for application migrations. Martin Fowler introduced and popularized this pattern under the name of <a href="https://martinfowler.com/bliki/StranglerFigApplication.html" target="_blank">Strangler Fig Application</a>, which was inspired by a type of fig that seeds itself in the upper branches of a tree and gradually evolves around the original tree, eventually replacing it. The parallel with application migration is that our new service is initially set up to wrap the existing system. In this way, the old and the new systems can coexist, giving the new system time to grow and potentially replace the old system. Figure 3 shows the main components of the Strangler pattern for a legacy application migration.</p>
<div aria-label="A diagram of the components required for a legacy application migration. image widget" class="cke_widget_wrapper cke_widget_block cke_widget_image cke_widget_selected" contenteditable="false" data-cke-display-name="image" data-cke-filter="off" data-cke-widget-id="8" data-cke-widget-wrapper="1" role="region" tabindex="-1">
<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage3.png%22%2C%22alt%22%3A%22A%20diagram%20of%20the%20components%20required%20for%20a%20legacy%20application%20migration.%22%2C%22width%22%3A%22518%22%2C%22height%22%3A%22393%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%228f473776-8c7e-47c9-b30f-d57155158979%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><span class="cke_image_resizer" title="Click and drag to resize"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEieSlV141hml9OEsSy2jacNzBZ0ewLqROFVWqzgViT9GTocDKC0ek5hm1p85XFDAjBKQ5kLdvjrRiTO5mFbdMnmK3jUf7i7AwE_Oun0XetZvprhaF7WU33MSEY9C6WC4QoFKC9TlDtvD0xv/s1138/image3.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 3: The Strangler pattern in a legacy application migration." border="0" data-original-height="864" data-original-width="1138" height="304" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEieSlV141hml9OEsSy2jacNzBZ0ewLqROFVWqzgViT9GTocDKC0ek5hm1p85XFDAjBKQ5kLdvjrRiTO5mFbdMnmK3jUf7i7AwE_Oun0XetZvprhaF7WU33MSEY9C6WC4QoFKC9TlDtvD0xv/w400-h304/image3.png" title="Figure 3: The Strangler pattern in a legacy application migration." width="400" /></a></div></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 3: The Strangler pattern in a legacy application migration.</figcaption>
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<p>The key benefit of the Strangler pattern is that it allows low-risk, incremental migration from a legacy system to a new one. Let’s look at each of the main steps involved in this pattern.</p>
<h3>Step 1: Identify functional boundaries</h3>
<p>The very first question is where to start the migration. Here, we can use domain-driven design to help us identify aggregates and the bounded contexts where each represents a potential unit of decomposition and a potential boundary for microservices. Or, we can use the <a href="https://techbeacon.com/devops/introduction-event-storming-easy-way-achieve-domain-driven-design" target="_blank">event storming</a> technique created by Antonio Brandolini to gain a shared understanding of the domain model. Other important considerations here would be how these models interact with the database and what work is required for database decomposition. Once we have a list of these factors, the next step is to identify the relationships and dependencies between the bounded contexts to get an idea of the relative difficulty of the extraction.</p>
<p>Armed with this information, we can proceed with the next question: Do we want to start with the service that has the least amount of dependencies, for an easy win, or should we start with the most difficult part of the system? A good compromise is to pick a service that is representative of many others and can help us build a good technology foundation. That foundation can then serve as a base for estimating and migrating other modules.</p>
<h3>Step 2: Migrate the functionality</h3>
<p>For the strangler pattern to work, we must be able to clearly map inbound calls to the functionality we want to move. We must also be able to redirect these calls to the new service and back if needed. Depending on the state of the legacy application, client applications, and other constraints, weighing our options for this interception might be straightforward or difficult:</p>
<ul><li>The easiest option would be to change the client application and redirect inbound calls to the new service. Job done.</li><li>If the legacy application uses HTTP, then we’re off to a good start. HTTP is very amenable to redirection and we have a wealth of transparent proxy options to choose from.</li><li>In practice, it likely that our application will not only be using REST APIs, but will have SOAP, FTP, RPC, or some kind of traditional messaging endpoints, too. In this case, we may need to build a custom protocol translation layer with something like <a href="https://camel.apache.org/" target="_blank">Apache Camel</a>.</li></ul>
<p>Interception is a potentially dangerous slippery slope: If we start building a custom protocol translation layer that is shared by multiple services, we risk adding too much intelligence to the shared proxy that services depend on. This would move us away from the "<a href="https://medium.com/@nathankpeck/microservice-principles-smart-endpoints-and-dumb-pipes-5691d410700f" target="_blank">smart microservices, dumb pipes</a>” mantra. A better option is to use the <a href="https://k8spatterns.io/" target="_blank">Sidecar pattern</a>, illustrated in Figure 4.</p>
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<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage9.png%22%2C%22alt%22%3A%22A%20diagram%20of%20the%20components%20required%20for%20a%20legacy%20application%20migration.%22%2C%22width%22%3A%22527%22%2C%22height%22%3A%22257%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%22122fda72-067f-4bdc-8841-fec1c79cbce0%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixNkiIlQdFAdig2dANb0jwPrMWaOyZ2EYm32ZX0svXL-SN_uLklbChD0luG7EWC6PtSlfb3SW8JT2mhpXAeYBJFLnHVgTLpDV15EPR0L1VZLLF4BPfj1BRX5Z3s8hbc8GiVDiUvFnswPex/s1444/image9.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 4: The Sidecar pattern." border="0" data-original-height="704" data-original-width="1444" height="195" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixNkiIlQdFAdig2dANb0jwPrMWaOyZ2EYm32ZX0svXL-SN_uLklbChD0luG7EWC6PtSlfb3SW8JT2mhpXAeYBJFLnHVgTLpDV15EPR0L1VZLLF4BPfj1BRX5Z3s8hbc8GiVDiUvFnswPex/w400-h195/image9.png" title="Figure 4: The Sidecar pattern." width="400" /></a></div><span class="cke_image_resizer" title="Click and drag to resize"></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 4: The Sidecar pattern.</figcaption>
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<p>Rather than placing custom proxy logic in a shared layer, make it part of the new service. But rather than embedding the custom proxy in the service at compile-time, we use the <a href="https://developers.redhat.com/blog/2020/05/11/top-10-must-know-kubernetes-design-patterns" target="_blank">Kubernetes sidecar pattern</a> and make the proxy a runtime binding activity. With this pattern, legacy clients use the protocol-translating proxy and new clients are offered the new service API. Inside the proxy, calls are translated and directed to the new service. That allows us to reuse the proxy if needed. More importantly, we can easily decommission the proxy when it is no longer needed by legacy clients, with minimal impact on the newer services.</p>
<h3>Step 3: Migrate the database</h3>
<p>Once we have identified the functional boundary and the interception method, we need to decide how we will approach <i>database strangulation</i>—that is, separating our legacy database from application services. We have a few paths to choose from.</p>
<h4>Database first</h4>
<p>In a database-first approach, we separate the schema first, which could potentially impact the legacy application. For example, a <code>SELECT</code> might require pulling data from two databases, and an <code>UPDATE</code> can lead to the need for distributed transactions. This option requires changes to the source application and doesn’t help us demonstrate progress in the short term. That is not what we are looking for.</p>
<h4>Code first</h4>
<p>A code-first approach lets us get to independently deployed services quickly and reuse the legacy database, but it could give us a false sense of progress. Separating the database can turn out to be challenging and hide future performance bottlenecks. But it is a move in the right direction and can help us discover the data ownership and what needs to be split into the database layer later.</p>
<h4>Code and database together</h4>
<p>Working on the code and database together can be difficult to aim for from the get-go, but it is ultimately the end state we want to get to. Regardless of how we do it, we want to end up with a separate service and database; starting with that in mind will help us avoid refactoring later.</p><p> </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiIajrTN-8sI21GmZeoeKkqOSMmUC3h5AQVFa-hcsBV5rjAwu1-nFID3odJRdBDmuxcpFPEvXyCAKRaKqUN8qYc_qfHV8YGGftQkqjETXvAzzIsupOXVcycqth1enWsTCibFfjSTyDr7Z5LOURw6Dtvc7SaIFSSjwVYjDj1_yzosgHkZ17n8cp0MkHHqg/s2778/database.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img alt="Database strangulation strategies" border="0" data-original-height="738" data-original-width="2778" height="107" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiIajrTN-8sI21GmZeoeKkqOSMmUC3h5AQVFa-hcsBV5rjAwu1-nFID3odJRdBDmuxcpFPEvXyCAKRaKqUN8qYc_qfHV8YGGftQkqjETXvAzzIsupOXVcycqth1enWsTCibFfjSTyDr7Z5LOURw6Dtvc7SaIFSSjwVYjDj1_yzosgHkZ17n8cp0MkHHqg/w400-h107/database.png" title="Database strangulation strategies" width="400" /></a></div><br /><p>Figure 4.1: Database strangulation strategies<br /></p>
<p>Having a separate database requires data synchronization. Once again, we can choose from a few common technology approaches.</p>
<h4>Triggers</h4>
<p>Most databases allow us to execute custom behavior when data is changed. In some cases, that could even be calling a web service and integrating with another system. But how triggers are implemented and what we can do with them varies between databases. Another significant drawback here is that using triggers requires changing the legacy database, which we might be reluctant to do.</p>
<h4>Queries</h4>
<p>We can use queries to regularly check the source database for changes. The changes are typically detected with implementation strategies such as timestamps, version numbers, or status column changes in the source database. Regardless of the implementation strategy, polling always leads to the dilemma between polling often and creating overhead over the source database, or missing frequent updates. While queries are simple to install and use, this approach has significant limitations. It is unsuitable for mission-critical applications with frequent database interactions.</p>
<h4>Log readers</h4>
<p>Log readers identify changes by scanning the database transaction log files. Log files exist for database backup and recovery purposes and provide a reliable way to capture all changes including <code>DELETE</code>s. Using log readers is the least disruptive option because they require no modification to the source database and they don’t have a query load. The main downside of this approach is that there is no common standard for the transaction log files and we'll need specialized tools to process them. This is where Debezium fits in.</p><p> </p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhYmZrFOiK6zdOqTX7DLiq_lpr-zwMq5yYPwvbeLaBI3sqN3w_EhzpHlhEX9HrsBEnO4ZjV-mpIBGKMsRYApmwocVrMCrKnaKyBt4-nZmaH7TiO2BKBEwnJy1CSQsbFBh5OZ6meO07taHfpoELCdWevK7OUpZ_8oOaBeX3vt9Q1M3Ua9fjxaoBOZV2ieQ/s2850/migration.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img alt="Data synchronization patterns" border="0" data-original-height="1216" data-original-width="2850" height="171" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhYmZrFOiK6zdOqTX7DLiq_lpr-zwMq5yYPwvbeLaBI3sqN3w_EhzpHlhEX9HrsBEnO4ZjV-mpIBGKMsRYApmwocVrMCrKnaKyBt4-nZmaH7TiO2BKBEwnJy1CSQsbFBh5OZ6meO07taHfpoELCdWevK7OUpZ_8oOaBeX3vt9Q1M3Ua9fjxaoBOZV2ieQ/w400-h171/migration.png" title="Data synchronization patterns" width="400" /></a></div><p></p><figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage9.png%22%2C%22alt%22%3A%22A%20diagram%20of%20the%20components%20required%20for%20a%20legacy%20application%20migration.%22%2C%22width%22%3A%22527%22%2C%22height%22%3A%22257%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%22122fda72-067f-4bdc-8841-fec1c79cbce0%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 4.2: Data synchronization patterns</figcaption></figure>
<p>Before moving on to the next step, let's see how using Debezium with the log reader approach works.</p>
<h3>Change data capture with Debezium</h3>
<p>When an application writes to the database, changes are recorded in log files, then the database tables are updated. For MySQL, the log file is <code>binlog</code>; for PostgreSQL, it is the <code>write-ahead-log</code>; and for MongoDB it's the <code>op</code> log. The good news is Debezium has connectors for different databases, so it does the hard work for us of understanding the format of all of these log files. Debezium can read the log files and produce a generic abstract event into a messaging system such as Apache Kafka, which contains the data changes. Figure 5 shows Debezium connectors as the interface for a variety of databases.</p>
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<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage8.png%22%2C%22alt%22%3A%22Debezium%20connectors%20in%20a%20microservices%20architecture.%22%2C%22width%22%3A%22518%22%2C%22height%22%3A%22243%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%2244dfecb1-9ddb-4e72-9295-d9c0bcd42a25%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><span class="cke_image_resizer" title="Click and drag to resize"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQaLE0WOeGakegpowJyJFGPDPdA3Hn9DMeFa3hHxNNZ8vnrjq9TzYI7A_oKjYRoxy-iK6_Pga5hpIiSjQX4VEfGxFQ16kA1Otdmg9K3gPaUmZb03TaCr7t-SzWORnzHNqVtpwvNLoNvmtR/s1044/image8.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 5: Debezium connectors in a microservices architecture." border="0" data-original-height="490" data-original-width="1044" height="188" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhQaLE0WOeGakegpowJyJFGPDPdA3Hn9DMeFa3hHxNNZ8vnrjq9TzYI7A_oKjYRoxy-iK6_Pga5hpIiSjQX4VEfGxFQ16kA1Otdmg9K3gPaUmZb03TaCr7t-SzWORnzHNqVtpwvNLoNvmtR/w400-h188/image8.png" title="Figure 5: Debezium connectors in a microservices architecture." width="400" /></a></div></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 5: Debezium connectors in a microservices architecture.</figcaption>
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<p>Debezium is the most widely used open source change data capture (CDC) project with <a href="https://developers.redhat.com/blog/2021/03/25/db2-and-oracle-connectors-coming-to-debezium-1-4-ga#integration_with_service_registry" target="_blank">multiple connectors</a> and features that make it a great fit for the Strangler pattern.</p>
<h4>Why is Debezium a good fit for the Strangler pattern?</h4>
<p>One of the most important reasons to consider the Strangler pattern for migrating monolithic legacy applications is reduced risk and the ability to fall back to the legacy application. Similarly, Debezium is completely transparent to the legacy application, and it doesn’t require any changes to the legacy data model. Figure 6 shows Debezium in an example microservices architecture.</p>
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<p>With a minimal configuration to the legacy database, we can capture all the required data. So at any point, we can remove Debezium and fall back to the legacy application if we need to.</p>
<h4>Debezium features that support legacy migrations</h4>
<p>Here are some of Debezium's specific features that support migrating a monolithic legacy application with the Strangler pattern:</p>
<ul><li><b>Snapshots</b>: Debezium can take a snapshot of the current state of the source database, which we can use for bulk data imports. Once a snapshot is completed, Debezium will start streaming the changes to keep the target system in sync.</li><li><b>Filters</b>: Debezium lets us pick which databases, tables, and columns to stream changes from. With the Strangler pattern, we are not moving the whole application.</li><li><b>Single message transformation (SMT)</b>: This feature can act like an anti-corruption layer and protect our new data model from legacy naming, data formats, and even let us filter out obsolete data</li><li><b>Using Debezium with a schema registry</b>: We can use a schema registry such as <a href="https://www.apicur.io/" target="_blank">Apicurio</a> with Debezium for schema validation, and also use it to enforce version compatibility checks when the source database model changes. This can prevent changes from the source database from impacting and breaking the new downstream message consumers.</li><li><b>Using Debezium with Apache Kafka</b>: There are many reasons why Debezium and Apache Kafka work well together for application migration and modernization. Guaranteed ordering of database changes, message compaction, the ability to re-read changes as many times as needed, and tracking transaction log offsets are all good examples of why we might choose to use these tools together.</li></ul>
<h3>Step 4: Releasing services</h3>
<p>With that quick overview of Debezium, let’s see where we are with the Strangler pattern. Assume that, so far, we have done the following:</p>
<ul><li>Identified a functional boundary.</li><li>Migrated the functionality.</li><li>Migrated the database.</li><li>Deployed the service into a Kubernetes environment.</li><li>Migrated the data with Debezium and kept Debezium running to synchronize ongoing changes.</li></ul>
<p>At this point, there is not yet any traffic routed to the new services, but we are ready to release the new services. Depending on our routing layer's capabilities, we can use techniques such as dark launching, parallel runs, and canary releasing to reduce or remove the risk of rolling out the new service, as shown in Figure 7.</p>
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<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage5.png%22%2C%22alt%22%3A%22Directing%20read%20traffic%20to%20a%20new%20service.%22%2C%22width%22%3A%22401%22%2C%22height%22%3A%22371%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%22f55bbc52-339d-4294-86ae-1672eaa1b9f5%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><span class="cke_image_resizer" title="Click and drag to resize"></span></span>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZyFkr-JQu_QEyqD_GyukrA-umf6_4jbVwSAmFSgDgf_X8kSc3UvQKsAgHAjuIvv20NEyWiDNiNgUszJCA8Gk5ZG9wfB3JDvYASndpbdjFS8ZwGiCTiYAWFiL_ihD1vdIGR0TUV92i-fDM/s590/image5.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 7: Directing read traffic to the new service." border="0" data-original-height="546" data-original-width="590" height="370" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZyFkr-JQu_QEyqD_GyukrA-umf6_4jbVwSAmFSgDgf_X8kSc3UvQKsAgHAjuIvv20NEyWiDNiNgUszJCA8Gk5ZG9wfB3JDvYASndpbdjFS8ZwGiCTiYAWFiL_ihD1vdIGR0TUV92i-fDM/w400-h370/image5.png" title="Figure 7: Directing read traffic to the new service." width="400" /></a></div><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 7: Directing read traffic to the new service.</figcaption>
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<p>What we can also do here is to only direct read requests to our new service initially, while continuing to send the writes to the legacy system. This is required as we are replicating changes in a single direction only.</p>
<p>When we see that the read operations are going through without issues, we can then direct the write traffic to the new service. At this point, if we still need the legacy application to operate for whatever reason, we will need to stream changes from the new services toward the legacy application database. Next, we'll want to stop any write or mutating activity in the legacy module and stop the data replication from it. Figure 8 illustrates this part of the pattern implementation.</p>
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<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage10.png%22%2C%22alt%22%3A%22Directing%20read%20and%20write%20traffic%20to%20the%20new%20service.%22%2C%22width%22%3A%22403%22%2C%22height%22%3A%22360%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%22676e3fca-a6e3-4bca-9cda-badf7c5040fc%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><span class="cke_image_resizer" title="Click and drag to resize"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhgfyVcooGzPKxWSY4SLeV92NVUOC4r80zBaS69rS23FDC2G_VaNXMcwTs3ZCq7gsQEjaUtSDUinVZCbF7ThIA2N1H5BmY8xq0CFWSRLk6D7_x1fuGN2ERSLMGKaCu8uJhekvtbTJXN99D0/s612/image10.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 8: Directing read and write traffic to the new service." border="0" data-original-height="546" data-original-width="612" height="356" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhgfyVcooGzPKxWSY4SLeV92NVUOC4r80zBaS69rS23FDC2G_VaNXMcwTs3ZCq7gsQEjaUtSDUinVZCbF7ThIA2N1H5BmY8xq0CFWSRLk6D7_x1fuGN2ERSLMGKaCu8uJhekvtbTJXN99D0/w400-h356/image10.png" title="Figure 8: Directing read and write traffic to the new service." width="400" /></a></div></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 8: Directing read and write traffic to the new service.</figcaption>
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<p>Since we still have legacy read operations in place, we are continuing the replication from the new service to the legacy application. Eventually, we'll stop all operations in the legacy module and stop the data replication. At this point, we will be able to decommission the migrated module.</p>
<p>We've had a broad look at using the Strangler pattern to migrate a monolithic legacy application, but we are not quite done with modernizing our new microservices-based architecture. Next, let’s consider some of the challenges that come later in the modernization process and how Debezium, Apache Kafka, and Kubernetes might help.</p>
<h2>After the migration: Modernization challenges</h2>
<p>The most important reason to consider using the Strangler pattern for migration is the reduced risk. This pattern gives value steadily and allows us to demonstrate progress through frequent releases. But migration alone, without enhancements or new “business value” can be a hard sell to some stakeholders. In the longer-term modernization process, we also want to enhance our existing services and add new ones. With modernization initiatives, very often, we are also tasked with setting the foundation and best practices for building modern applications that will follow. By migrating more and more services, adding new ones, and in general by transitioning to the microservices architecture, new challenges will come up, including the following:</p>
<ul><li>Automating the deployment and operating a large number of services.</li><li>Performing dual-writes and orchestrating long-running business processes in a reliable and scalable manner.</li><li>Addressing the analytical and reporting needs.</li></ul>
<p>There are all challenges that might not have existed in the legacy world. Let’s explore how we can address a few of them using a combination of design patterns and technologies.</p>
<h3>Challenge 1: Operating event-driven services at scale</h3>
<p>While peeling off more and more services from the legacy monolithic application, and also creating new services to satisfy emerging business requirements, the need for automated deployments, rollbacks, placements, configuration management, upgrades, self-healing becomes apparent. These are the exact features that make Kubernetes a great fit for operating large-scale microservices. Figure 9 illustrates.</p>
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<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage12.png%22%2C%22alt%22%3A%22A%20sample%20event-driven%20architecture%20on%20top%20of%20Kubernetes.%22%2C%22width%22%3A%22521%22%2C%22height%22%3A%22299%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%22129d7698-b380-4f59-a7e2-83170c259a1e%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><span class="cke_image_resizer" title="Click and drag to resize"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYsuiySLHNKwwBuvDqaTTtMSkONiOywTHVJSVj72CdLevIl-p9cDJXjboLLuj4bj62pSpUp3VOJdJ81JKzG5MrWk7nkARl9Ec2v9mBZE56VietUdXnvm6H7nHqcz-s0c-eDghEV3J0anXx/s902/image12.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 9: A sample event-driven architecture on top of Kubernetes." border="0" data-original-height="518" data-original-width="902" height="230" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgYsuiySLHNKwwBuvDqaTTtMSkONiOywTHVJSVj72CdLevIl-p9cDJXjboLLuj4bj62pSpUp3VOJdJ81JKzG5MrWk7nkARl9Ec2v9mBZE56VietUdXnvm6H7nHqcz-s0c-eDghEV3J0anXx/w400-h230/image12.png" title="Figure 9: A sample event-driven architecture on top of Kubernetes." width="400" /></a></div></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 9: A sample event-driven architecture on top of Kubernetes.</figcaption>
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<p>When we are working with event-driven services, we will quickly find that we need to automate and integrate with an event-driven infrastructure—which is where Apache Kafka and other projects in its ecosystem might come in. Moreover, we can use <a href="https://github.com/redhat-developer/app-services-operator" target="_blank">Kubernetes Operators</a> to help automate the management of Kafka and the following supporting services:</p>
<ul><li><a href="https://github.com/Apicurio/apicurio-registry" target="_blank">Apicurio Registry</a> provides an Operator for managing Apicurio Schema Registry on Kubernetes.</li><li><a href="https://strimzi.io/" target="_blank">Strimzi</a> offers Operators for managing Kafka and Kafka Connect clusters declaratively on Kubernetes.</li><li><a href="https://keda.sh/" target="_blank">KEDA</a> (Kubernetes Event-Driven Autoscaling) offers workload auto-scalers for scaling up and down services that consume from Kafka. So, if the consumer lag passes a threshold, the Operator will start more consumers up to the number of partitions to catch up with message production.</li><li><a href="https://knative.dev/docs/eventing/" target="_blank">Knative Eventing</a> offers event-driven abstractions backed by Apache Kafka.</li></ul>
<p class="Indent1"><b>Note</b>: Kubernetes not only provides a target platform for application modernization but also allows you to grow your applications on top of the same foundation into a large-scale event-driven architecture. It does that through automation of user workloads, Kafka workloads, and other tools from the Kafka ecosystem. That said, not everything has to run on your Kubernetes. For example, you can use a <a href="http://red.ht/TryKafka" target="_blank">fully managed Apache Kafka</a> or a schema registry service from Red Hat and automatically bind it to your application using Kubernetes Operators. Creating a multi-availability-zone (multi-AZ) Kafka cluster on <a href="https://developers.redhat.com/products/red-hat-openshift-streams-for-apache-kafka/overview" target="_blank">Red Hat OpenShift Streams for Apache Kafka</a> takes less than a minute and is completely free during our trial period. <a href="http://red.ht/TryKafka" target="_blank">Give it a try</a> and help us shape it with your early feedback.</p>
<p>Now, let’s see how we can meet the remaining two modernization challenges using design patterns.</p>
<h3>Challenge 2: Avoiding dual-writes</h3>
<p>Once you build a couple of microservices, you quickly realize that the hardest part about them is data. As part of their business logic, microservices often have to update their local data store. At the same time, they also need to notify other services about the changes that happened. This challenge is not so obvious in the world of monolithic applications and legacy distributed transactions. How can we avoid or resolve this situation the cloud-native way? The answer is to only modify one of the two resources—the database—and then drive the update of the second one, such as Apache Kafka, in an eventually consistent manner. Figure 10 illustrates this approach.</p>
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<figure class="caption caption-img cke_widget_element" data-cke-widget-data="%7B%22hasCaption%22%3Atrue%2C%22src%22%3A%22%2Fsites%2Fdefault%2Ffiles%2Finline-images%2Fimage11.png%22%2C%22alt%22%3A%22The%20Outbox%20pattern%20illustrated.%22%2C%22width%22%3A%22402%22%2C%22height%22%3A%22363%22%2C%22lock%22%3Atrue%2C%22align%22%3A%22none%22%2C%22data-entity-type%22%3A%22file%22%2C%22data-entity-uuid%22%3A%22ba4ac4f3-3167-46e5-9294-e5a774ff51ca%22%2C%22classes%22%3A%7B%7D%7D" data-cke-widget-keep-attr="0" data-cke-widget-upcasted="1" data-widget="image"><span class="cke_image_resizer_wrapper"><span class="cke_image_resizer" title="Click and drag to resize"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhMVIOELaPE79vWxxpsgpg3Rnb6SLko6CFnDId3aL34OhKRrSPRGiRveMPUDRcV0idFDAmp_fY9oZy4IQJTD_TRk2QexYQKAZ9nFpTXURxidMoB-69UdsGFeA7G_ugDYnDGHPThyphenhyphenWZ7Zydq/s870/image11.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 10: The Outbox pattern." border="0" data-original-height="786" data-original-width="870" height="361" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhMVIOELaPE79vWxxpsgpg3Rnb6SLko6CFnDId3aL34OhKRrSPRGiRveMPUDRcV0idFDAmp_fY9oZy4IQJTD_TRk2QexYQKAZ9nFpTXURxidMoB-69UdsGFeA7G_ugDYnDGHPThyphenhyphenWZ7Zydq/w400-h361/image11.png" title="Figure 10: The Outbox pattern." width="400" /></a></div></span></span><figcaption class="cke_widget_editable" contenteditable="true" data-cke-display-name="caption" data-cke-enter-mode="2" data-cke-filter="84" data-cke-widget-editable="caption" data-placeholder="Enter caption here">Figure 10: The Outbox pattern.</figcaption>
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<p>Using the <a href="https://debezium.io/blog/2019/02/19/reliable-microservices-data-exchange-with-the-outbox-pattern/" target="_blank">Outbox pattern</a> with Debezium lets services execute these two tasks in a safe and consistent manner. Instead of directly sending a message to Kafka when updating the database, the service uses a single transaction to both perform the normal update and insert the message into a specific outbox table within its database. Once the transaction has been written to the database’s transaction log, Debezium can pick up the outbox message from there and send it to Apache Kafka. This approach gives us very nice properties. By synchronously writing to the database in a single transaction, the service benefits from "read your own writes" semantics, where a subsequent query to the service will return the newly persisted record. At the same time, we get reliable, asynchronous, propagation to other services via Apache Kafka. The Outbox pattern is a proven approach for avoiding dual-writes for scalable event-driven microservices. It solves the inter-service communication challenge very elegantly without requiring all participants to be available at the same time, including Kafka. I believe Outbox will become one of the foundational patterns for designing scalable event-driven microservices.</p>
<h3>Challenge 3: Long-running transactions</h3>
<p>While the Outbox pattern solves the simpler inter-service communication problem, it is not sufficient alone for solving the more complex long-running, distributed business transactions use case. The latter requires executing multiple operations across multiple microservices and applying consistent all-or-nothing semantics. A common example for demonstrating this requirement is the booking-a-trip use case consisting of multiple parts where the flight and accommodation must be booked together. In the legacy world, or with a monolithic architecture, you might not be aware of this problem as the coordination between the modules is done in a single process and a single transactional context. The distributed world requires a different approach, as illustrated in Figure 11.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgemQdlvDeB4WPPT8MpsqLvr7i_W9KI9Y8U8JWHuRJGO0Z2ssnEVTuYad6_uzRgqsS9j5LpXMk6RH8kZkBsptgNFweTwmKsZ84eG5bbbJ2tkCHTWQm5XgkgntTOsVK7K3VS3aMEt1IAG-CU/s600/saga.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Figure 11: The Saga pattern implemented with Debezium." border="0" data-original-height="407" data-original-width="600" height="271" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgemQdlvDeB4WPPT8MpsqLvr7i_W9KI9Y8U8JWHuRJGO0Z2ssnEVTuYad6_uzRgqsS9j5LpXMk6RH8kZkBsptgNFweTwmKsZ84eG5bbbJ2tkCHTWQm5XgkgntTOsVK7K3VS3aMEt1IAG-CU/w400-h271/saga.png" title="Figure 11: The Saga pattern implemented with Debezium." width="400" /></a></div> Figure 11: The Saga pattern implemented with Debezium.<p></p><div aria-label="saga.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="0" data-cke-widget-wrapper="1" role="region" tabindex="-1"><div class="rhd-c-figure" style="position: relative;"><article class="media media--type-image media--view-mode-article-content"><div class="field field--name-field-caption field--type-string field--label-hidden field__items">
</div>
</article>
</div>
The <a href="https://developers.redhat.com/blog/2018/10/01/patterns-for-distributed-transactions-within-a-microservices-architecture#possible_solutions">Saga pattern</a> offers a solution to this problem by splitting up an overarching business transaction into a series of multiple local database transactions, which are executed by the participating services. Generally, there are two ways to implement distributed <i>sagas</i>:
</div><ul><li><b>Choreography</b>: In this approach, one participating service sends a message to the next one after it has executed its local transaction.</li><li><b>Orchestration</b>: In this approach, one central coordinating service coordinates and invokes the participating services.</li></ul>
<p>Communication between the participating services might be either synchronous, via HTTP or gRPC, or asynchronous, via messaging such as Apache Kafka.</p>
<p>The cool thing here is that you can implement sagas using Debezium, Apache Kafka, and the Outbox pattern. With these tools, it is possible to take advantage of the orchestration approach and have one place to manage the flow of a saga and check the status of the overarching saga transaction. We can also combine orchestration with asynchronous communication to decouple the coordinating service from the availability of participating services and even from the availability of Kafka. That gives us the best of both worlds: orchestration <i>and</i> asynchronous, non-blocking, parallel communication with participating services, without temporal coupling.</p>
<p>Combining the Outbox pattern with the Sagas pattern is an awesome, event-driven implementation option for the long-running business transactions use case in the distributed services world. See<i> <a href="https://www.infoq.com/articles/saga-orchestration-outbox/" target="_blank">Saga Orchestration for Microservices Using the Outbox Pattern</a></i> (InfoQ) for a detailed description. Also see an <a href="https://github.com/debezium/debezium-examples/tree/master/saga" target="_blank">implementation example</a> of this pattern on GitHub.</p>
<h2>Conclusion</h2>
<p>The Strangler pattern, Outbox pattern, and Saga pattern can help you migrate from brown-field systems, but at the same time, they can help you build green-field, modern, event-driven services that are future-proof.</p>
<p>Kubernetes, Apache Kafka, and Debezium are open source projects that have turned into de facto standards in their respective fields. You can use them to create standardized solutions with a rich ecosystem of supporting tools and best practices.</p>
<p>The one takeaway from this article is the realization that modern software systems are like cities: They evolve over time, on top of legacy systems. Using proven patterns, standardized tools, and open ecosystems will help you create long-lasting systems that grow and change with your needs.</p><i>This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/articles/2021/06/14/application-modernization-patterns-apache-kafka-debezium-and-kubernetes" target="_blank">here</a>.</i> Unknownnoreply@blogger.com2tag:blogger.com,1999:blog-3109111393630873407.post-71991283987680274432021-05-29T12:52:00.003+01:002021-05-29T13:00:34.573+01:00 Data Gateways in the Cloud Native Era<p>These days, there is a lot of excitement around 12-factor apps,
microservices, and service mesh, but not so much around cloud-native
data. The number of conference talks, blog posts, best practices, and
purpose-built tools around cloud-native data access is relatively low.
One of the main reasons for this is because most data access
technologies are architectured and created in a stack that favors static
environments rather than the dynamic nature of cloud environments and
Kubernetes.</p>
<p>In this article, we will explore the different categories of data
gateways, from more monolithic to ones designed for the cloud and
Kubernetes. We will see what are the technical challenges introduced by
the Microservices architecture and how data gateways can complement API
gateways to address these challenges in the Kubernetes era.</p><h2>Application architecture evolutions</h2>
<p>Let’s start with what has been changing in the way we manage code and
the data in the past decade or so. I still remember the time when I
started my IT career by creating frontends with Servlets, JSP, and JSFs.
In the backend, EJBs, SOAP, server-side session management, was the
state of art technologies and techniques. But things changed rather
quickly with the introduction of REST and popularization of Javascript.
REST helped us decouple frontends from backends through a uniform
interface and resource-oriented requests. It popularized stateless
services and enabled response caching, by moving all client session
state to clients, and so forth. This new architecture was the answer to
the huge scalability demands of modern businesses.</p><p>A similar change happened with the backend services through the
Microservices movement. Decoupling from the frontend was not enough, and
the monolithic backend had to be decoupled into bounded context
enabling independent fast-paced releases. These are examples of how
architectures, tools, and techniques evolved pressured by the business
needs for fast software delivery of planet-scale applications.</p><p>That takes us to the data layer. One of the existential motivations
for microservices is having independent data sources per service. If you
have microservices touching the same data, that sooner or later
introduces coupling and limits independent scalability or releasing. It
is not only an independent database but also a heterogeneous one, so
every microservice is free to use the database type that fits its needs.</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjjxbKNRSnzPgea6hhyphenhyphen8UbiB-mI2n-7212yXr5GqrOhUMcNoGkTCBd8aUN9bmqbcckPcuGv3NKN1ZcVSLYfyk5xZfHrKZxBQL_0D7DAvMHX29Z7IeRkKhuPa4SDRjzORvH45Ka1FM4irCGy/d/Screenshot+2020-05-29+at+00.36.05.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Application architecture evolution brings new challenges" border="0" data-original-height="754" data-original-width="2332" height="129" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjjxbKNRSnzPgea6hhyphenhyphen8UbiB-mI2n-7212yXr5GqrOhUMcNoGkTCBd8aUN9bmqbcckPcuGv3NKN1ZcVSLYfyk5xZfHrKZxBQL_0D7DAvMHX29Z7IeRkKhuPa4SDRjzORvH45Ka1FM4irCGy/w400-h129/Screenshot+2020-05-29+at+00.36.05.png" title="Application architecture evolution brings new challenges" width="400" /></a></div><p style="text-align: center;"><i><small>Application architecture evolution brings new challenges</small></i>
</p><p>While decoupling frontend from backend and splitting monoliths into
microservices gave the desired flexibility, it created challenges
not-present before. Service discovery and load balancing, network-level
resilience, and observability turned into major areas of technology
innovation addressed in the years that followed.</p>
<p>Similarly, creating a database per microservice, having the freedom
and technology choice of different datastores is a challenge. That shows
itself more and more recently with the explosion of data and the demand
for accessing data not only by the services but other real-time
reporting and AI/ML needs.</p>
<h2>The rise of API gateways</h2>
<p>With the increasing adoption of Microservices, it became apparent
that operating such an architecture is hard. While having every
microservice independent sounds great, it requires tools and practices
that we didn’t need and didn’t have before. This gave rise to more
advanced release strategies such as blue/green deployments, canary
releases, dark launches. Then that gave rise to fault injection and
automatic recovery testing. And finally, that gave rise to advanced
network telemetry and tracing. All of these created a whole new layer
that sits between the frontend and the backend. This layer is occupied
primarily with API management gateways, service discovery, and service
mesh technologies, but also with tracing components, application load
balancers, and all kinds of traffic management and monitoring proxies.
This even includes projects such as Knative with activation and
scaling-to-zero features driven by the networking activity.</p>
<p>With time, it became apparent that creating microservices at a fast
pace, operating microservices at scale requires tooling we didn’t need
before. Something that was fully handled by a single load balancer had
to be replaced with a new advanced management layer. A new technology
layer, a new set of practices and techniques, and a new group of users
responsible were born.</p>
<h2>The case for data gateways</h2>
<p>Microservices influence the data layer in two dimensions. First, it
demands an independent database per microservice. From a practical
implementation point of view, this can be from an independent database
instance to independent schemas and logical groupings of tables. The
main rule here is, only one microservice owns and touches a dataset. And
all data is accessed through the APIs or Events of the owning
microservice. The second way a microservices architecture influenced the
data layer is through datastore proliferation. Similarly, enabling
microservices to be written in different languages, this architecture
allows the freedom for every microservices-based system to have a <a href="https://martinfowler.com/bliki/PolyglotPersistence.html" target="_blank">polyglot</a> persistence
layer. With this freedom, one microservice can use a relational
database, another one can use a document database, and the third
microservice one uses an in-memory key-value store.</p>
<p>While microservices allow you all that freedom, again it comes at a
cost. It turns out operating a large number of datastore comes at a cost
that existing tooling and practices were not prepared for. In the
modern digital world, storing data in a reliable form is not enough.
Data is useful when it turns into insights and for that, it has to be
accessible in a controlled form by many. AI/ML experts, data scientists,
business analysts, all want to dig into the data, but the
application-focused microservices and their data access patterns are
not <a href="https://martinfowler.com/articles/data-monolith-to-mesh.html" target="_blank">designed</a> for these data-hungry demands.</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkideuGie16PVQ6ZnYt0pSPUImU2JBSSklpzOU_8fW1cuKZA18E_p6FgFNaGlqRz-FPy7vjtKLJGrcK8uENrejS8ygGvkOF1zboLr4z8tAi0hXzipv_WA2F5_KvMyNjvgRd85GOAQyhy0Y/d/Screenshot+2020-05-29+at+00.36.16.png" style="margin-left: 1em; margin-right: 1em;"><img alt="API and Data gateways offering similar capabilities at different layers" border="0" data-original-height="510" data-original-width="1714" height="119" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjkideuGie16PVQ6ZnYt0pSPUImU2JBSSklpzOU_8fW1cuKZA18E_p6FgFNaGlqRz-FPy7vjtKLJGrcK8uENrejS8ygGvkOF1zboLr4z8tAi0hXzipv_WA2F5_KvMyNjvgRd85GOAQyhy0Y/w400-h119/Screenshot+2020-05-29+at+00.36.16.png" title="API and Data gateways offering similar capabilities at different layers" width="400" /></a></div><p style="text-align: center;"><i><small>API and Data gateways offering similar capabilities at different layers</small></i>
</p><p>This is where data gateways can help you. A data gateway is like an
API gateway, but it understands and acts on the physical data layer
rather than the networking layer. Here are a few areas where data
gateways differ from API gateways.</p>
<h3>Abstraction</h3>
<p>An API gateway can hide implementation endpoints and help upgrade and
rollback services without affecting service consumers. Similarly, a
data gateway can help abstract a physical data source, its specifics,
and help alter, migrate, decommission, without affecting data consumers.</p>
<h3>Security</h3>
<p>An API manager secures resource endpoints based on HTTP methods. A
service mesh secures based on network connections. But none of them can
understand and secure the data and its shape that is passing through
them. A data gateway, on the other hand, understands the different data
sources and the data model and acts on them. It can apply RBAC per data
row and column, filter, obfuscate, and sanitize the individual data
elements whenever necessary. This is a more fine-grained security model
than networking or API level security of API gateways.</p>
<h3>Scaling</h3>
<p>API gateways can do service discovery, load-balancing, and assist the
scaling of services through an orchestrator such as Kubernetes. But
they cannot scale data. Data can scale only through replication and
caching. Some data stores can do replication in cloud-native
environments but not all. Purpose-built tools, such as <a href="http://debezium.io/" target="_blank">Debezium</a>,
can perform change data capture from the transaction logs of data
stores and enable data replication for scaling and other use cases.</p>
<p>A data gateway, on the other hand, can speed-up access to all kinds
of data sources by caching data and providing materialized views. It can
understand the queries, optimize them based on the capabilities of the
data source, and produce the most performant execution plan. The
combination of materialized views and the stream nature of change data
capture would be the ultimate data scaling technique, but there are no
known cloud-native implementations of this yet.</p>
<h3>Federation</h3>
<p>In API management, response composition is a common technique for
aggregating data from multiple different systems. In the data space, the
same technique is referred to as heterogeneous data federation.
Heterogeneity is the degree of differentiation in various data sources
such as network protocols, query languages, query capabilities, data
models, error handling, transaction semantics, etc. A data gateway can
accommodate all of these differences as a seamless, transparent
data-federation layer.</p>
<h3>Schema-first</h3>
<p>API gateways allow contract-first service and client development with
specifications such as OpenAPI. Data gateways allow schema-first data
consumption based on the SQL standard. A SQL schema for data modeling is
the OpenAPI equivalent of APIs.</p>
<h2>Many shades of data gateways</h2>
<p>In this article, I use the terms API and data gateways loosely to
refer to a set of capabilities. There are many types of API gateways
such as API managers, load balancers, service mesh, service registry,
etc. It is similar to data gateways, where they range from huge
monolithic data virtualization platforms that want to do everything, to
data federation libraries, from purpose-built cloud services to end-user
query tools.</p>
<p>Let’s explore the different types of data gateways and see which fit
the definition of “a cloud-native data gateway.” When I say a
cloud-native data gateway, I mean a containerized first-class Kubernetes
citizen. I mean a gateway that is open source, using open standards; a
component that can be deployed on hybrid/multi-cloud infrastructures,
work with different data sources, data formats, and applicable for many
use cases.</p>
<h3>Classic data virtualization platforms</h3>
<p>In the very first category of data gateways, are the traditional data virtualization platforms such as <a href="https://www.denodo.com/en" target="_blank">Denodo</a> and <a href="https://www.tibco.com/products/data-virtualization" target="_blank">TIBCO/Composite</a>.
While these are the most feature-laden data platforms, they tend to do
too much and want to be everything from API management, to metadata
management, data cataloging, environment management, deployment,
configuration management, and whatnot. From an architectural point of
view, they are very much like the old ESBs, but for the data layer. You
may manage to put them into a container, but it is hard to put them into
the cloud-native citizen category.</p>
<h3>Databases with data federation capabilities</h3>
<p>Another emerging trend is the fact that databases, in addition to
storing data, are also starting to act as data federation gateways and
allowing access to external data.</p>
<p>For example, PostgreSQL <a href="https://wiki.postgresql.org/wiki/Foreign_data_wrappers" target="_blank">implements</a> the
ANSI SQL/MED specification for a standardized way of handling access to
remote objects from SQL databases. That means remote data stores, such
as SQL, NoSQL, File, LDAP, Web, Big Data, can all be accessed as if they
were tables in the same PostgreSQL database. SQL/MED stands for
Management of External Data, and it is also implemented by MariaDB <a href="https://mariadb.com/kb/en/connect/" target="_blank">CONNECT</a> engine, <a href="https://www.ibm.com/developerworks/data/library/techarticle/0203haas/0203haas.html" target="_blank">DB2</a>, Teiid project discussed below, and a few <a href="https://stackoverflow.com/questions/23411629/do-databases-besides-postgres-have-features-comparable-to-foreign-data-wrappers" target="_blank">others</a>.</p>
<p>Starting in SQL Server 2019, you can now query external data sources without moving or copying the data. The <a href="https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-guide?view=sql-server-ver15" target="_blank">PolyBase</a> engine
of SQL Server instance to process Transact-SQL queries to access
external data in SQL Server, Oracle, Teradata, and MongoDB.</p>
<h3>GraphQL data bridges</h3>
<p>Compared to the traditional data virtualization, this is a new
category of data gateways focused around the fast web-based data access.
The common thing around <a href="https://hasura.io/" target="_blank">Hasura</a>, <a href="https://www.prisma.io/" target="_blank">Prisma</a>, <a href="https://spaceuptech.com/" target="_blank">SpaceUpTech</a>,
is that they focus on GraphQL data access by offering a lightweight
abstraction on top of a few data sources. This is a fast-growing
category specialized for enabling rapid web-based development of
data-driven applications rather than BI/AI/ML use cases.</p>
<h3>Open-source data gateways</h3>
<p><a href="https://drill.apache.org/" target="_blank">Apache Drill</a> is a schema-free
SQL query engine for NoSQL databases and file systems. It offers JDBC
and ODBC access to business users, analysts, and data scientists on top
of data sources that don’t support such APIs. Again, having uniform SQL
based access to disparate data sources is the driver. While Drill is
highly scalable, it relies on Hadoop or Apache Zookeeper’s kind of
infrastructure which shows its age.</p>
<p><a href="http://teiid.io/teiid_cloud/" target="_blank">Teiid</a> is a mature data
federation engine
sponsored by Red Hat.
It uses the SQL/MED specification for defining the virtual data models
and relies on the Kubernetes Operator model for the building,
deployment, and management of its runtime. Once deployed, the runtime can scale as any other stateless
cloud-native workload on Kubernetes and integrate with other
cloud-native projects. For example, it can use <a href="https://www.keycloak.org/" target="_blank">Keycloak</a> for single sign-on and data roles, <a href="https://infinispan.org/" target="_blank">Infinispan</a> for
distributed caching needs, export metrics and register with Prometheus
for monitoring, Jaeger for tracing, and even with <a href="https://www.redhat.com/en/technologies/jboss-middleware/3scale" target="_blank">3scale</a> for API
management. But ultimately, Teiid runs as a single Spring Boot
application acting as a data proxy and integrating with other
best-of-breed services on Openshift rather than trying to reinvent
everything from scratch.</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjWcTi8WywwNIfUuJvu8XrOza-9YnEZMchZa54YsbruzGL-bwoI4fH6P67IGqNsLD-fWO5C-tfvassZHRUcjr4Y8UzdQZmVnz4-byCe_YD7nGbZW0Jsr9_6yABihJq5urE7TDF-6CDSTVA1/d/Screenshot+2020-05-29+at+00.36.50.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Architectural overview of Teiid data gateway" border="0" data-original-height="700" data-original-width="1418" height="198" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjWcTi8WywwNIfUuJvu8XrOza-9YnEZMchZa54YsbruzGL-bwoI4fH6P67IGqNsLD-fWO5C-tfvassZHRUcjr4Y8UzdQZmVnz4-byCe_YD7nGbZW0Jsr9_6yABihJq5urE7TDF-6CDSTVA1/w400-h198/Screenshot+2020-05-29+at+00.36.50.png" title="Architectural overview of Teiid data gateway" width="400" /></a></div>
<p style="text-align: center;"><i>Architectural overview of Teiid data gateway</i></p>
<p>On the client-side, Teiid offers standard SQL over JDBC/ODBC and
Odata APIs. Business users, analysts, and data scientists can use
standard BI/analytics tools such as Tableau, MicroStrategy, Spotfire,
etc. to interact with Teiid. Developers can leverage the REST API or
JDBC for custom built microservices and serverless workloads. In either
case, for data consumers, Teiid appears as a standard PostgreSQL
database accessed over its JDBC or ODBC protocols but offering
additional abstractions and decoupling from the physical data sources.</p>
<p><a href="https://prestodb.io/" target="_blank">PrestoDB</a> is another popular
open-source project started by Facebook. It is a distributed SQL query
engine targeting big data use cases through its coordinator-worker
architecture. The Coordinator is responsible for parsing statements,
planning queries, managing workers, fetching results from the workers,
and returning the final results to the client. The worker is responsible
for executing tasks and processing data. </p><p>Some time ago, the founders split from PrestoDB and created a fork called <a href="https://trino.io/" target="_blank">Trino</a> (formerly PrestoSQL). Today, PrestoDB is part of The Linux Foundation, and Trino part of Trino Software Foundation. Both
distributions of Presto are among the most active and powerful open-source data gateway projects
in this space. To learn more about this technology, <a href="https://www.starburst.io/info/oreilly-trino-guide/" target="_blank">here</a> is a good book I found. <br /></p>
<h3>Cloud-hosted data gateways services</h3>
<p>With a move to the cloud infrastructure, the need for data gateways
doesn’t go away but increases instead. Here are a few cloud-based data
gateway services:</p>
<p><a href="https://aws.amazon.com/athena/" target="_blank">AWS Athena</a> is ANSI SQL
based interactive query service for analyzing data tightly integrated
with Amazon S3. It is based on PrestoDB and supports additional data
sources and federation capabilities too. Another similar service by
Amazon is <a href="https://docs.aws.amazon.com/redshift/latest/dg/c-getting-started-using-spectrum.html" target="_blank">AWS Redshift Spectrum</a>.
It is focused around the same functionality, i.e. querying S3 objects
using SQL. The main difference is that Redshift Spectrum requires a
Redshift cluster, whereas Athena is a serverless offering that doesn’t
require any servers. <a href="https://cloud.google.com/bigquery/" target="_blank">Big Query</a> is a similar service but from Google.</p>
<p>These tools require minimal to no setup, they can access on-premise
or cloud-hosted data and process huge datasets. But they couple you with
a single cloud provider as they cannot be deployed on multiple clouds
or on-premise. They are ideal for interactive querying rather than
acting as hybrid data frontend for other services and tools to use.</p>
<h3>Secure tunneling data-proxies</h3>
<p>With cloud-hosted data gateways comes the need for accessing
on-premise data. Data has gravity and also might be affected by
regulatory requirements preventing it from moving to the cloud. It may
also be a conscious decision to keep the most valuable asset (your data)
from cloud-coupling. All of these cases require cloud access to
on-premise data. And cloud providers make it easy to reach your data.
Azure’s <a href="https://docs.microsoft.com/en-us/azure/analysis-services/analysis-services-gateway" target="_blank">On-premises Data Gateway</a> is such a proxy allowing access to on-premise data stores from Azure Service Bus.</p>
<p>In the opposite scenario, accessing cloud-hosted data stores from on-premise clients can be challenging too. Google’s <a href="https://cloud.google.com/sql/docs/mysql/sql-proxy" target="_blank">Cloud SQL Proxy</a> provides secure access to Cloud SQL instances without having to whitelist IP addresses or configure SSL.</p>
<p>Red Hat-sponsored open-source project <a href="https://skupper.io/" target="_blank">Skupper</a> takes
the more generic approach to address these challenges. Skupper solves
Kubernetes multi-cluster communication challenges through a layer 7
virtual network that offers advanced routing and secure connectivity
capabilities. Rather than embedding Skupper into the business service
runtime, it runs as a standalone instance per Kubernetes namespace and
acts as a shared sidecar capable of secure tunneling for data access or
other general service-to-service communication. It is a generic
secure-connectivity proxy applicable for many use cases in the hybrid
cloud world.</p>
<h3>Connection pools for serverless workloads</h3>
<p>Serverless takes software decomposition a step further from
microservices. Rather than services splitting by bounded context,
serverless is based on the function model where every operation is
short-lived and performs a single operation. These granular software
constructs are extremely scalable and flexible but come at a cost that
previously wasn’t present. It turns out rapid scaling of functions is a
challenge for connection-oriented data sources such as relational
databases and message brokers. As a result cloud providers offer
transparent data proxies as a service to manage connection pools
effectively. <a href="https://aws.amazon.com/rds/proxy/" target="_blank">Amazon RDS Proxy</a> is
such a service that sits between your application and your relational
database to efficiently manage connections to the database and improve
scalability.</p>
<h2>Conclusion</h2>
<p>Modern cloud-native architectures combined with the microservices
principles enable the creation of highly scalable and independent
applications. The large choice of data storage engines, cloud-hosted
services, protocols, and data formats, gives the ultimate flexibility
for delivering software at a fast pace. But all of that comes at a cost
that becomes increasingly visible with the need for uniform real-time
data access from emerging user groups with different needs. Keeping
microservices data only for the microservice itself creates challenges
that have no good technological and architectural answers yet. Data
gateways, combined with cloud-native technologies offer features similar
to API gateways but for the data layer that can help address these new
challenges. The data gateways vary in specialization, but they tend to
consolidate on providing uniform SQL-based access, enhanced security
with data roles, caching, and abstraction over physical data stores.</p>
<p>Data has gravity, requires granular access control, is hard to scale,
and difficult to move on/off/between cloud-native infrastructures.
Having a data gateway component as part of the cloud-native tooling
arsenal, which is hybrid and works on multiple cloud providers, supports
different use cases is becoming a necessity.</p><p><i>This article was originally published on InfoQ <a href="https://www.infoq.com/articles/data-gateways-cloud-native" target="_blank">here</a>.</i></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-34791690837573644652021-02-07T08:32:00.001+00:002021-02-07T08:33:02.177+00:00The After Open Source Era Has StartedOpen source is the current norm for developer collaboration and customer adoption in software. It is the foundation that enabled unicorns and cloud providers to build their services from the ground up. But that wasn’t always the case with open source, and it is changing and evolving again. <br /><img alt="Open Source Eras and relative adoption trend lines" height="213" src="https://lh3.googleusercontent.com/Id1F_miagI28eijUuT0dhWxbCalxPm9McMRhii0QP6bu_pV66fehX2KMw7sL8fZascHfNJAzg7OA7y44RwLHG0ghkdnjIIVUaZqQwQOuIlsW6IloVb7vsDIbHss7oiTbl4H9G9Gz=w546-h213" title="Open Source Eras and relative adoption trend lines" width="546" /><br /><br /><i>Open Source Eras and relative adoption trend lines</i><br /><br />In this post, I will look at open source evolution broadly, try to analyze what are some of the triggers and enablers for the change, and where it might be heading next. Let’s start with the main open software development eras by summarizing the main trends and then focus on the big picture with an attempt to predict the future.<br /><h2 style="text-align: left;">Free Software (1980)</h2>The term “free software” is attributed to Richard Stallman around the 1980s for using it for the <a href="https://en.wikipedia.org/wiki/Free-software_movement">free-software movement</a>. During these early days of computing, Richard started the GNU project in an effort to cultivate collaboration among the early hacker community and create a freedom-respecting operating system. He campaigns for software to be distributed in a manner such that its users receive the freedoms to use, study, distribute, and modify that software. This era set the origins of open source and more importantly the free software licenses (such as GPL) that flourish later.<br /><br />At the time, the main software creators in the open were the individual hackers and in their view of the world, the software had to be free as speech and remain so. Free software grew because personal computers became more widely available to these hackers and they used CDs, floppy disks, and the early internet to distribute software and spread their ideology.<br /><br />In this pre-internet era, manual distributions of software, supporting documentation, consulting services (installation, development), <a href="https://www.gnu.org/philosophy/selling-exceptions.en.html">selling-exceptions</a> were some of the popular monetization methods.<br /><h2 style="text-align: left;">Open Source Software (2000)</h2>The term "open source" was used by a group of people from the free-software movement around 2000. The motivation for this new term was to free itself from the ideological and confrontational connotations of the term "free software" and make it more appealing for the business world. The supporters of the open source movement stress the subtle difference from free software where free software requires any changes to be submitted to the original maker for redistribution, and any derivative software must also be distributed as free software. This new term set the beginning of a new movement and the forming of <a href="https://en.wikipedia.org/wiki/Open_Source_Initiative">Open Source Initiative</a> to educate and advance open source culture. The open source movement allowed smaller companies to play a more significant role in the software economy by giving them access to the software needed to compete in the global market. Before that, it was the larger corporations, the producers of the networks and hardware who had the power.<br /><br />Open source sparked from the early hackers community but grew rapidly into open source businesses, enabled by software foundations, the internet, and the wider adoption of open source by companies of all sizes. The primary monetization mechanism for the open source software is through support and the open core models where additional accompanying value is created around the core open source project. While this open core (enabled by permissive licenses such as MIT, Apache) allows everybody to benefit from it, it is also its Achilles' heel as we will see next.<br /><h2 style="text-align: left;">Shared Source Software (2020)</h2>Open source licenses give more freedom to the users, but they don’t give many advantages to the producers of the software. Many small projects with a handful of maintainers create huge economic value which ends up captured by other companies with better operational capabilities to monetize. This leads the maintainers of these projects to remain below the poverty line. Other companies hire open source maintainers as full-time employers and bet their company existence and brand into the success of their open source project. Yet they got disrupted and threatened by even larger hyperscale SaaS providers who have the scale to capture the economical value more efficiently and faster from the same projects.<br /><br />This new economic reality started forcing individual maintainers and small companies to move their software away from business-friendly open source to other free software inspired derivative licenses and pursue dual-licensing models. This new family of licenses is not proprietary, but they don’t fit the open source definition either as they protect the trademark owner from the competition by discriminating against certain ways of software distributions such as SaaS. This transition of new and existing open source projects to non-open source licenses indicates the start of a new era. Keeping the source partially open is primarily for marketing and user adoption purposes rather than collaborative development and keeping software useful for everybody. This shared source software era is triggered by the existential threat of not being able to offer the software in a way demanded by consumers (as a SaaS) and efficiently capture economical value by the creators whether they are individual contributors or large companies with an open source business model.<br /><br /><img alt="Open source software eras and main characteristics" height="433" src="https://lh6.googleusercontent.com/CHVfHnt6NUlNS3B6IziiyXYxhYnMysMxss4TOIEx5Ppu8NcTLutw6gOk3u0QxzATIs9SCXwUm1ob_T3mwwjcLxX0ZqapA04Ak22KpdZzyfWY06aKudR2p4hnvG5Rj3hUGuA9FGFb=w566-h433" title="Open source software eras and main characteristics" width="566" /><br /><br /><i>Open source software eras and main characteristics</i><br /><br />Protected by these new licenses, the enablers for the modern-day independent hackers are the powerful online services that allow them to offer good quality software through globally available automation tools based on git, build tools, software scanning, and distribution services, etc. These hackers can build enough critical mass of supporters through social media and are able to capture economical value through services such as Github sponsors, Patreon, Tidelift, and <a href="https://www.oss.fund/">many others</a>. The other group, the disrupted open source companies are transitioning to the SaaS based distribution of software as vertical cloud services on top of the hybrid cloud infrastructure to compete with cloud providers. This allows the creators of the software to offer their service on multiple clouds and at the same time align with the way users prefer to consume software, which is as a service.<br /><h2 style="text-align: left;">What Will Software After Open Source Look Like?</h2>The start of a new trend doesn’t indicate the end of the existing eras, but a new addition to the mix. Free and open source software will continue growing at a huge pace. At the same time, I believe we will see an acceleration of the trend towards the so-called shared source and source available licenses too. This will double down on the dual-licensing of smaller library projects by individual developers and the SaaS-based distribution of bigger projects. The open core and open source models will remain here, but the open core of the projects will get smaller and smaller, practically useless for the competitors. We will see projects starting as open source during bootstrapping and initial adoption phases, and then transition to source available licenses when threatened by more operationally mature competitors. Unfortunately, this initial phase of uncertainty and adaptation in the shared source era will limit collaboration among competitors and demonstrate the importance of open governance and open funding through neutral software foundations or decentralized technologies.<br /><br />Then we will see cycles repeating and independent hackers flourish again, innovating as in the free software era. But this time they will be better equipped with better infrastructure to support their livelihood as independent small businesses of one. They will start projects in the open to scratch their itch, but quickly turn them into businesses or let them die. They will be less ideological, and more practical. These independent hackers will not need to be part of the traditional horizontal software companies that bundle engineering, marketing, sales, support, education, etc to be successful in the software business. Instead, they will be able to consume unbundled vertical online services and deliver enterprise-grade software. We will see a rise in the tools and platforms that offer reliable project governance without joining a foundation or consortium. Independent software builders can use decentralized <a href="http://bit.ly/rdcle">infrastructure</a>, <a href="http://bit.ly/devprtcl">tokenize</a> their projects, and customize the <a href="http://bit.ly/srcred">governance</a> through on-chain community voting. The economical and governance aspects of the projects will be merged with the source code and licenses into a holistic entity enabled by blockchain technology and create opportunities for individual hackers to create million-dollar companies.<br /><br />The infrastructure for independent techies will not be only for the software builders but for the whole ecosystem. Creating software is not enough, it has to go through the full pipeline of budgeting, building, marketing, hosting, sales, support in order to grow and remain sustainable. Speculators will put money into project tokens to help bootstrap projects and gain returns. Developers will build. Indies will create niche services complementing larger projects. Subject matter experts will provide consulting services and online training, and bounty hackers will hunt for ad-hoc work. Sometimes all of it will be driven by a single person, and sometimes a whole decentralized ecosystem forming around a project without the dominance of a central business entity. This will take a generation of software builders...<br /><h2 style="text-align: left;">Conclusion</h2>At the beginning of the open source era, Eric S. Raymond described a decentralized software development process called <a href="https://opensource.com/article/18/9/barter-currency-system">The Cathedral and The Bazaar</a>. This era proved that the bazaar is the superior software development model. But at the same time, this era also showed us the limitations and the narrow mindedness of this model when it is not accompanied by a <a href="https://monetize.substack.com/p/a0cf19a6-62d2-47f7-9771-82dec3d01094">holistic governance and monetization view</a>. The next era will improve on the same decentralized development principles by incorporating decentralized monetization and governance too. This will take us the full cycle of Decentralized and Sustainable Open Software nirvana.<br /><br /><i>If you like my explorations of opensource, blockchain, monetization, sing up to my <a href="https://monetize.substack.com/">newsletter</a> or follow me on <a href="https://twitter.com/bibryam">twitter</a>.</i><br /><br /> Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-81024458671606760902020-11-11T11:34:00.000+00:002020-11-11T11:34:51.772+00:00Open Source Monetization Ecosystem ReviewOpen source is a distributed innovation model that lacks distributed funding. It allows individuals with a common passion to collaborate and produce value but not capture it. It is a production factory, without a sales counter. That is why many open source contributors are not getting a fair return. That is why many companies capture value from open source but without paying back. That is why many independent open source builders use alternative means to fund themselves. That is why open source is not a business model. It is a production model, monetization not-included. But there is hope, there is change. <br /><p></p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgmRophOtOakBNyaYkE-Nf-XI7ujrEcfkGaPOrf440ZlLBJkH8hjUjDwn1AqtPs-1MVye5mVKKYb-_9omfOPlHMmPGirqpgNfXWo8x5JuoB_EFSNxbLaHA51HU9FyChx6Jrsv3w04w8thwj/s1682/monetization_for_individuals.png" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="710" data-original-width="1682" height="169" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgmRophOtOakBNyaYkE-Nf-XI7ujrEcfkGaPOrf440ZlLBJkH8hjUjDwn1AqtPs-1MVye5mVKKYb-_9omfOPlHMmPGirqpgNfXWo8x5JuoB_EFSNxbLaHA51HU9FyChx6Jrsv3w04w8thwj/w400-h169/monetization_for_individuals.png" width="400" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;"><i>Open source monetization journey for individuals</i></td><td class="tr-caption" style="text-align: center;"><br /></td></tr></tbody></table><p></p><p>Open source is an innovation model and it is going to innovate its monetization too. There are new <a href="https://www.oss.fund/" target="_blank">ways</a> for fans to support the creative work of open source builders. There are ways to create online courses and monetize knowledge. There are new ways to create digital goods with accompanying services and sell them online for a fiver. Ways to start newsletters and make money from your audience. Ways to measure an open source contributor's merit, incentivize it, and trade it. Decentralized protocols for staking tokens and support open source through interest rather than donations.</p><p></p><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto;"><tbody><tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhaDjqsQzhPSFfdVkjbS4fHh_-kf5InVhX2E5fi6xn7UEOheXN61sS7bgq4Da1ryLwtpQ3_ZwWyxBFmfQCaGkZtnZYOysF0hrNdPejyYK30M_mIvVlGwZv5mawk7Crc5f4Onf-jo1QUL-sV/s2508/Bilgin+Ibryam.jpg" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="1254" data-original-width="2508" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhaDjqsQzhPSFfdVkjbS4fHh_-kf5InVhX2E5fi6xn7UEOheXN61sS7bgq4Da1ryLwtpQ3_ZwWyxBFmfQCaGkZtnZYOysF0hrNdPejyYK30M_mIvVlGwZv5mawk7Crc5f4Onf-jo1QUL-sV/w400-h200/Bilgin+Ibryam.jpg" width="400" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;"><i>99 Ways to Make Money with Open Source as an Individual</i></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td><td class="tr-caption" style="text-align: center;"><br /></td></tr></tbody></table><p></p><p>There is an open source monetization revolution happening right now and I'll explore the whole spectrum of open source monetization projects at <a href="https://2020.opencoresummit.com/" target="_blank">Open Core Summit Digital</a>. Join me on December 16th-18th where I will talk about "<i>99 Ways to Make Money with Open Source as an Individual</i>".</p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-30072525781741706272020-09-11T10:48:00.021+01:002023-10-08T16:54:38.220+01:00Must Read Free Kubernetes Books<p><span data-preserver-spaces="true" style="background: none 0% 0% repeat scroll transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;">There is a rise in offerings of free educational content, free software, free cloud resources with the single goal of capturing the new kingmaker's attention.</span><span data-preserver-spaces="true" style="background: none 0% 0% repeat scroll transparent; color: #0e101a; margin-bottom: 0pt; margin-top: 0pt;"> In a similar spirit, here I want to quickly share my favorite Kubernetes related books offered free of charge. I've read and found them all very useful at different stages of my learning. The list contains books that are sponsored and offered free of charge but in most cases that is for exchange of your contact details. If you prefer not to give your details, you can go to Amazon, buy the data-capture-free book instead, and support the authors (<a href="https://k8spatterns.io/" target="_blank">such as me</a>). I think it is a privilege to work in this industry and I'm thankful for these authors and companies offering the choice of free-of-charge books. Enjoy the list, and don’t come back here saying “<i>This is not free…why are you saying it is free... blah-blah</i>". Here are my best of Kubernetes free picks, happy learning.</span></p><ul style="text-align: left;"><li><a href="https://aka.ms/dapr-ebook" target="_blank">Dapr for .NET Developers (NEW)</a> <br /></li><li><a href="https://portworx.com/resource/ebook-managing-cloud-native-data-on-kubernetes/" target="_blank">Managing Cloud Native Data on Kubernetes (NEW)</a> <br /></li><li><a href="https://abseil.io/resources/swe-book" target="_blank">Software Engineering at Google (NEW)</a> <br /></li><li><a href="https://www.cockroachlabs.com/guides/oreilly-cockroachdb-the-definitive-guide/" target="_blank">CockroachDB:The Definitive Guide (NEW)</a> <br /></li><li><a href="https://go.redpanda.com/webassembly-book" target="_blank">WebAssembly: The Definitive Guide (NEW)</a> <br /></li><li><a href="https://developers.redhat.com/books/kubernetes-patterns/" target="_blank">Kubernetes Patterns</a></li><li><a href="https://azure.microsoft.com/en-us/resources/designing-distributed-systems/en-us/" target="_blank">Designing Distributed Systems</a></li><li><a href="https://developers.redhat.com/books/kubernetes-operators" target="_blank">Kubernetes Operators</a></li><li><a href="https://k8s.vmware.com/kubernetes-up-and-running/" target="_blank">Kubernetes Up and Running</a></li><li><a href="https://www.nginx.com/resources/library/monolith-to-microservices" target="_blank">Monolith to Microservices</a></li><li><a href="https://developers.redhat.com/books/knative-cookbook" target="_blank">Knative Cookbook </a></li><li><a href="https://www.cockroachlabs.com/guides/oreilly-building-serverless-applications-with-google-cloud-run/">Building Serverless Applications with Google Cloud Run</a></li><li><a href="https://developers.redhat.com/e-books/modernizing-enterprise-java">Modernizing Enterprise Java</a></li><li><a href="https://abseil.io/resources/swe-book" target="_blank">Software Engineering at Google (NEW)</a></li><li><a href="https://cloudhealth.vmware.com/resources/cloud-finops-second-edition.html" target="_blank">Cloud FinOps</a></li></ul><p> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-VQMfCJxOEKM-ABEkL9kNTLK0MS2bAZckaIO300K0C6Iql_8pIwuGUSnRn728rNH2JPifzr80o8Vch3cOAo_srEkEb3Vk1YsHk29XW45gJ0i9do_2QZucPcWVX7EmwtsuIvRe0n-xvA-VKStcYQvS9dPH-IFTACzLxNoNN5YvsMT2eqS4rv1pSRKTWQ/s4237/Blank%20Diagram%20-%20Page%203.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Must Read Free Kubernetes Books" border="0" data-original-height="3776" data-original-width="4237" height="482" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg-VQMfCJxOEKM-ABEkL9kNTLK0MS2bAZckaIO300K0C6Iql_8pIwuGUSnRn728rNH2JPifzr80o8Vch3cOAo_srEkEb3Vk1YsHk29XW45gJ0i9do_2QZucPcWVX7EmwtsuIvRe0n-xvA-VKStcYQvS9dPH-IFTACzLxNoNN5YvsMT2eqS4rv1pSRKTWQ/w540-h482/Blank%20Diagram%20-%20Page%203.png" title="Must Read Free Kubernetes Books" width="540" /></a></div><p style="text-align: center;"><i>Must Read Free Kubernetes Books</i><br /></p><p>Here are also <a href="https://sre.google/books/" target="_blank">SRE Books </a>you can read online for free:</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhwZ_xMjKydmQeHx1NeSOFumFjPqI1BSOpa_NjWy8iDI_occPKtMG2LFqirlxRN5JlU_2RwQgWqwDue2QFXfKbJpJwpvUb-QthJbrIHdjkoDJuInfjwY04hf9G7L4b91z00Rw0pRZsoFdkuM04pT6rNLm_EbhHQnNfcqMUKOjrLTkkHNC4--4I8pC3cyQ" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="1036" data-original-width="2638" height="158" src="https://blogger.googleusercontent.com/img/a/AVvXsEhwZ_xMjKydmQeHx1NeSOFumFjPqI1BSOpa_NjWy8iDI_occPKtMG2LFqirlxRN5JlU_2RwQgWqwDue2QFXfKbJpJwpvUb-QthJbrIHdjkoDJuInfjwY04hf9G7L4b91z00Rw0pRZsoFdkuM04pT6rNLm_EbhHQnNfcqMUKOjrLTkkHNC4--4I8pC3cyQ=w400-h158" width="400" /></a></div><div class="separator" style="clear: both; text-align: center;"><i>SRE Books by Google</i></div><br /><p></p><p>There are also other honorable mentions, but these are shorter editions (less than 100 pages) and for me these qualify as books written with marketing in mind. Yet I found these books useful and a great value for money ;)<br /></p><ul style="text-align: left;"><li><a href="https://www.nginx.com/resources/library/cloud-native-devops-with-kubernetes/" target="_blank">Cloud Native DevOps With Kubernetes</a></li><li><a href="https://info.aquasec.com/kubernetes-security" target="_blank">Kubernetes Security</a></li><li><a href="https://www.nginx.com/resources/library/the-enterprise-path-to-service-mesh-architectures/" target="_blank">The Enterprise Path to Service Mesh Architectures</a> </li><li><a href="https://www.confluent.io/designing-event-driven-systems/" target="_blank">Designing Event-Driven Systems</a> </li><li><a href="https://developers.redhat.com/books/migrating-microservice-databases-relational-monolith-distributed-data" target="_blank">Migrating Microservice Databases </a> </li><li><a href="https://go2.striim.com/oreilly-streaming-integration-book" target="_blank">Streaming Integration</a> </li><li><a href="https://resources.turbonomic.com/whitepapers/managing-kubernetes-performance-at-scale " target="_blank">Managing Kubernetes Performance at Scale</a><br /></li><li><a href="https://www.infoq.com/minibooks/java-dynamic-proxies/" target="_blank">Dynamic Proxies in Java</a></li><li><a href="https://www.starburst.io/info/oreilly-trino-guide/" target="_blank">Trino: The Definitive Guide</a> <br /></li><li><a href="https://www.scylladb.com/2023/10/02/introducing-database-performance-at-scale-a-free-open-source-book/">Database Performance at Scale</a></li></ul><p>Hope you enjoy the list! Share it, and comment with your free picks!</p>Unknownnoreply@blogger.com2tag:blogger.com,1999:blog-3109111393630873407.post-61005002350244906692020-08-12T17:22:00.002+01:002020-08-12T17:22:32.509+01:00Free and open source is not good enough<h3 style="text-align: left;">Lack of free</h3>When I was at university, I had to pick between Java and .Net to direct my career. At the time, there were tons of Java books, docs, and even IDEs for free. But only very few .Net books and tools for Microsoft's environments and all of them were expensive for me. Living in a 3rd world country, I made my decision based on available free learning resources.<br /><h3 style="text-align: left;">Lack of attention <br /></h3>Today, we live in a different world. There is an endless amount of resources for learning, from blog posts, tutorials, and online training, all for free. Not only that, companies in a desire to establish themselves as leaders around a tech domain, sponsor quality books, swags and give them for free (some, in exchange for your contact details). Software is developed as open source, enabling collaboration, but more importantly, it allows developer adoption and talent recruiting. Meetups and developer conferences (although now virtual) are all about entertaining developers in an attempt to make them try and like a tech i.e. product. All development tools, enterprise software packages are offered for free for developers. Cloud providers give free-forever resources. All, in the name of attracting the new kingmakers' attention.<br /><h3 style="text-align: left;">Lack of intensives <br /></h3><p>I say free is not good enough. Free books, free tools, free cloud resources are not good enough. Free pizza and drinks, free stickers, and a t-shirt are not good enough either. <br />You can give your time, but you can never get it back. And if companies want to get the developers’ time, they will have to pay for it. The price of free is your time. <br />If a company wants their story and vision heard by developers, they have to pay for it. If a company wishes to have their free and open source software tried out, they will have to pay for it. If a company wants their tools and services learned, used, adopted, they have to pay for it.<br /></p><h3 style="text-align: left;">Free is too expensive<br /></h3><p>The biggest impact on the value and the success of technology is defined by its adoption. The equivalent of adoption in the open source tech world is the community. Any project that has a large community can take over other projects and enable value capture to companies. You are not building only software, you are building software with a community. To build a community, to get peoples' attention and time in the first place, you have to pay for it.</p><p></p><p></p><div class="separator" style="clear: both; text-align: left;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDWdRKlqXJVs8wuH_uFZnxWD493Nqimzka2FJjbhRHWd1lkaglgpAWZZwHM5ZggMkLiU76x4IheQHt4vcPKrIAhBQ34zu3kJ8TlS9YdhcYgT6pEdQ88nNke3d2HIthYC_NKvjNTXwn_nnl/s640/justice-423446_640.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="426" data-original-width="640" height="278" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiDWdRKlqXJVs8wuH_uFZnxWD493Nqimzka2FJjbhRHWd1lkaglgpAWZZwHM5ZggMkLiU76x4IheQHt4vcPKrIAhBQ34zu3kJ8TlS9YdhcYgT6pEdQ88nNke3d2HIthYC_NKvjNTXwn_nnl/s0/justice-423446_640.jpg" width="418" /></a></div><p><i>Image by <a href="https://pixabay.com/users/Monam-265889/?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=423446">Mona Tootoonchinia</a> from <a href="https://pixabay.com/?utm_source=link-attribution&utm_medium=referral&utm_campaign=image&utm_content=423446">Pixabay</a> </i></p><p><i> </i><br />Today, the best example for incentivizing communities, and building communities is the blockchain space. Whether that is through free token distribution to early users, referral programs, through airdrops, bounties for bug fixes, competitions, badges, community tasks, participation in beta programs, etc. blockchain projects offer a value exchange for community attention. Whether the majority of these blockchain projects are a scam or not is a different topic and irrelevant here. But the fact that blockchain projects value community building, user adoption, and they know how to bootstrap projects with communities from zero is undeniable. We need similar mechanisms tailored for developers and general technology adoption. We need to value and pay for the new kingmakers' time and attention. We need to pay them to listen to our vision, learn and to try out our products. If you pay, they will come (and give a try to your software the least).<br /><br />Thank you for giving a few minutes of your time and attention, for free.</p><i></i>Unknownnoreply@blogger.com2tag:blogger.com,1999:blog-3109111393630873407.post-31527173904366408312020-07-31T15:56:00.001+01:002020-07-31T15:56:38.792+01:00Choosing Between ActiveMQ and Kafka for Messaging Infrastructure<div>The term asynchronous means “not occurring at the same time” and in the context of distributed systems and messaging it implies that the processing of a request occurs at an arbitrary point in time. There are many advantages of asynchronous interactions over synchronous ones but also new challenges introduced by it. In this post, we will focus on a few specific considerations for choosing a suitable asynchronous messaging infrastructure for implementing <a href="https://developers.redhat.com/topics/event-driven/" target="_blank">event-driven</a> systems. Let’s see a few of the subtle differences between asynchronous interaction styles.<br /></div><h2 style="text-align: left;">Message Business Value</h2>Not all messages are created equal. Some are valid and valuable only for a short period of time and obsolete later. Some are valuable until they are consumed regardless of the time passed. And some messages are valid and useful for repeated consumption. Considering the validity and the value of messages relative to time and consumption rate, we can qualify interaction styles between services into the following categories:<br /><div><br /><br /><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRb-kmJGBSTN_e1qQ8XiYaVh6gOzlk4ts2_VG7af3X61NRaOv86Wg4M6r3zavDz_GzEjOs-HgxGp85ocfCVIlRRA-A2FiClIJGHVKHrsDBfJ4rq_b9GeXvXMMw7hNPJHr0rctg-cRDzoX2/s2576/business_value.png"><img alt="Message types by business value" border="0" height="136" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgRb-kmJGBSTN_e1qQ8XiYaVh6gOzlk4ts2_VG7af3X61NRaOv86Wg4M6r3zavDz_GzEjOs-HgxGp85ocfCVIlRRA-A2FiClIJGHVKHrsDBfJ4rq_b9GeXvXMMw7hNPJHr0rctg-cRDzoX2/d/business_value.png" title="Message types by business value" width="400" /></a><br /><i>Message types by business value</i><br /><h4 style="text-align: left;">Volatile</h4>These are ephemeral messages where the value is time-bound. Valuable now, but not in the short future. There is no point in storing events that are useless in the future and using messaging systems with such characteristics gives the best performance with the lowest latency possible as the disk is skipped. In such a scenario, the system is aware of the connected consumers and the event disseminated to all consumers online at the time of publication. If a consumer is disconnected, the messaging system forgets about these consumers. What is important in such a system is the ability to handle a large number of dynamic clients with low latency interaction needs such as IoT devices.<br /><h4 style="text-align: left;">Durable</h4>However, in some situations you want the messaging system to be aware of the consumers and store the messages while the consumer is not available. That is a traditional message broker which will hold on to the messages for the consumers that he knows about and allow the consumers to re-connect and consume the events that were produced in his absence. Once an event is consumed by all the interested parties, it will discard the messages. Here the broker knows about registered consumers and messages are stored durably until read by all registered consumers. Here the goal is to do reliable messaging among services with strong ordering and delivery guarantees.<br /><h4 style="text-align: left;">Replayable</h4>Here, the messaging system is not aware of the consumers that are interested in the event. It simply stores the events published to a stream for some time or until capacity is reached. Then a consumer can come along at any time, connect and consume the events and perhaps replay the stream from the beginning. Consumers can move back and forth in the stream as required and replay the messages repeatedly. Here, the driving force is extreme scalability combined with the ability to replay messages for existing or new consumers.<br /><h2 style="text-align: left;">Message Semantics</h2>Apart from the technical characteristics of the messages, it is important to distinguish the language we use, the semantic aspects, and the intent of the interactions. Some messages are targeted for a specific consumer and demand concrete actions. Some are querying the latest state of a system without requiring a state change. And some notify the world about a change that has happened in the source system. From a messaging semantic perspective, there are the following types of messages:<br /><br /><br /><br /><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhUZ8I3L9Bpx9SiRTmIkoQLGBjKuprHKgVagjBcKhYCM1uyOc4333tPju8T_LgFLfHqTKPURKTBcplaWmwfLh0hMf6O3lSEtpLZST5J8S4diR2PC2uy3S339tbw2oQNsPFoa6w8ioFYoC0u/s2568/Screenshot+2020-07-28+at+07.39.01.png"><img alt="Message types by semantics" border="0" height="135" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhUZ8I3L9Bpx9SiRTmIkoQLGBjKuprHKgVagjBcKhYCM1uyOc4333tPju8T_LgFLfHqTKPURKTBcplaWmwfLh0hMf6O3lSEtpLZST5J8S4diR2PC2uy3S339tbw2oQNsPFoa6w8ioFYoC0u/d/Screenshot+2020-07-28+at+07.39.01.png" title="Message types by semantics" width="400" /></a><i><br /></i></div><div><i>Message types by semantics</i></div><div style="text-align: left;"><h4>Command</h4>A command is a request for action that usually leads to a state change on a known target system. Typically there is a response indicating that action was completed and even there might be a result associated with it. When a response is expected, commands are typically implemented over synchronous protocols such as HTTP, but it is possible to implement request/response or fire and forget style commands over asynchronous messaging systems. With a command based asynchronous messages, there is some coupling between the source and the target systems in the form of command semantics.<br /><h4>Query</h4>A query is like a command, but it is a read-only interaction that does not lead to a state change. By its very nature, a query expects a response, and it is common to see synchronous implementations here. But asynchronous and non-blocking implementations over messaging systems and even fire and forget style interactions for long-running operations where a response is written to a different location are common too.<br /><h4>Event</h4>An event is a notification that something has changed. A system sends event notifications to notify other systems for a change in its domain. An event is different from a command in that often the event emitting system doesn’t expect an answer at all. In addition to being asynchronous, event messages are not targeted to a specific recipient and thus, they enable even further decoupling. Similar to other asynchronous interactions, events are implemented as messages on queues, which are often called streams. Martin Fowler covers in-depth the different types of events in <a href="https://www.youtube.com/watch?v=STKCRSUsyP0" target="_blank">this</a> talk.<br /><h2 style="text-align: left;">Summary</h2></div><div style="text-align: left;">One approach you can take is to follow the <a href="https://en.wikipedia.org/wiki/Law_of_the_instrument" target="_blank">Law of the Instrument</a> approach defined by Maslow as “If the only tool you have is a hammer, treat everything as if it were a nail." You could certainly use a classic message broker such as Apache ActiveMQ to implement the different interaction styles. It would be a familiar technology to many and easier to start with, but hard to implement some use cases such as replayable messaging. Or you could take the other extreme and try to use Apache Kafka for everything. It would require a larger amount of hardware resources and human effort to manage it, but it would cover the replayable messaging and extreme scalability needs. While both of the above approaches are fine to start with, when you have a large number of services with different messaging needs, using the right tool for the right job is a better option. We can map the above-described messaging patterns to see what messaging infrastructure is best suited for each.<br /><br /><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKbq5yNwDrxKw22cwzEqESt49qo6FygxC-HJ2C7t7D0jGVaAcqPduizwvfQHuRJ3T_UmN7KqHXEnP92_P4iqAMuVYRObhL9dyuUSWnxzBoschsTWB0-cp1nndgjcE3yndAZUKlzwJk7gyU/s2768/Screenshot+2020-07-28+at+07.39.17.png"><img alt="Mapping messaging subtleties to different messaging infrastructures" border="0" height="135" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiKbq5yNwDrxKw22cwzEqESt49qo6FygxC-HJ2C7t7D0jGVaAcqPduizwvfQHuRJ3T_UmN7KqHXEnP92_P4iqAMuVYRObhL9dyuUSWnxzBoschsTWB0-cp1nndgjcE3yndAZUKlzwJk7gyU/d/Screenshot+2020-07-28+at+07.39.17.png" title="Mapping messaging subtleties to different messaging infrastructures" width="400" /></a><br /><i>Mapping messaging subtleties to different messaging infrastructures</i><br /><br />We at Red Hat love any open source technology. That is why we included Apache Qpid, Apache ActiveMQ Artemis, and Apache Kafka in our <a href="https://www.redhat.com/en/technologies/jboss-middleware/amq" target="_blank">Red Hat AMQ</a> product and let the customer choose the right tool for the right job. There are many other aspects to consider when choosing the right tool, I hope this post will help you get there one step closer.</div><div style="text-align: left;"><i>This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/blog/2020/07/31/choosing-the-right-asynchronous-messaging-infrastructure-for-the-job/" target="_blank">here</a>.</i></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-17582679994147530252020-07-30T07:49:00.000+01:002020-07-30T07:49:30.204+01:00What is Application Performance Monitoring (APM)?<div><i>This is a guest post by </i><span data-tooltip-position="top" data-tooltip=""><i>freelance editor and copywriter Laila Mahran. </i><br /></span></div><div><span data-tooltip-position="top" data-tooltip=""><br /></span></div><div>When using Application Performance Monitoring, you’re able to monitor key app performance metrics about the performance of a web application in production. APM is often thought of as a ‘second wave’ of performance monitoring techniques, which was preceded by traditional host-based monitoring. Let’s dive in more. </div>Host-based monitoring focuses on indicators such as:<br /><ul style="text-align: left;"><li>Storage</li><li>Memory</li><li>CPU</li><li>Network utilization</li></ul>Application monitoring goes a step further and focuses on the actual “end-user” metrics of an application in real-time such as:<br /><ul style="text-align: left;"><li>Code-level errors</li><li>Slowdowns in response times</li><li>Error rates</li></ul><h3 style="text-align: left;">How does this APM magic work?</h3>There are multiple different ways Application Performance Monitoring tools can function. Let’s look at the most common ways APM is used. <br /><ul style="text-align: left;"><li>An agent process that is deployed alongside a web application that hooks into the application runtime to collect telemetry data from the process</li><li>Specialized web appliances that inspect Layer 7 traffic to generate telemetry</li></ul>When combined with the monitoring mechanism, an external application generates synthetic traffic which is then sent to the application to monitor performance at predefined throughput intervals. When looking at <a href="https://nordicapis.com/10-api-monitoring-tools/" target="_blank">APM tools</a> and other monitoring types, the main difference to highlight is that the telemetry data is generated by inspecting the application runtime, and the performance metrics that it exposes.<br /><h3 style="text-align: left;">Can APM help me?</h3>Traditional host monitoring can make you feel stuck with no step closer to an answer. Application Performance Monitoring is designed to answer questions that you can’t get an answer to. While understanding the raw resource utilization of your application is useful, it doesn’t give you a lot of information when you’re trying to track down why a specific request has high latency, why a particular transaction against your database is failing, or how your application performs under load. <br />Let’s take a look at common questions asked on a daily basis.<br /><ol style="text-align: left;"><li>What are the implications of this issue on user experience for end users? </li><li>Where is this high latency coming from?</li><li>What caused that outage?</li><li>Why are we getting an error here?</li><li>Why is this transaction failing?</li><li>Can we find the root cause of this substandard user experience?</li></ol>Have you asked yourself these questions before? If you’re nodding your head furiously, you can look to APM to provide the answer. <br /><h3 style="text-align: left;">Monitoring vs. Management: What’s the difference?</h3>Application Performance Management applies to a suite of applications while Application Performance Monitoring applies to a single application. An application performance management tool is able to aggregate and compare multiple types of metrics across multiple applications and services in order to pinpoint performance issues and regressions in your suite of applications. On the other hand, Application Performance Monitoring looks at the code-level to ensure each step is monitored thoroughly. <br /><h3 style="text-align: left;">Is Network Monitoring different?</h3>Network monitoring focuses on routers in order to detect issues with an application or collecting telemetry from network devices such as switches. If you’re looking to get a complete picture, networking monitoring requires stitching together information from each line. This approach doesn’t provide sufficient resolution or information for modern applications, however, especially when the application itself may be running behind a variety of proxies or service routers which themselves are running on virtualized networking equipment.<br /><h3 style="text-align: left;">APM vs. Observability: What’s the difference?</h3>You’ve heard the hype of observability, but how is it different from APM? <a href="https://www.ingeniumweb.com/blog/post/what-is-observability-and-how-is-it-connected-to-marketing-and-sales/5032/" target="_blank">Observability</a> is a holistic approach to fully understanding your application performance as well as a shared set of practices and terminology to help communicate performance across your organization. While observability helps you navigate from effect to cause, <a href="https://lightstep.com/blog/apm-is-dying-and-thats-okay/" target="_blank">APM falls short</a> of being able to answer “unknown unknowns,” questions that you didn’t think to ask ahead of time. This is the reason behind APM currently being eclipsed by observability. <br />Observability is unique due to the capability of answering questions about modern, microservice-based application architectures where you will often contend with serverless components, polyglot services, and container-based deployments running on <a href="https://www.influxdata.com/solutions/kubernetes-monitoring-solution/" target="_blank">Kubernetes</a>. Circling back, observability provides a shared language to standardize communication around performance. This way you’re able to focus on the measurement of service level objectives and service level indicators that are more broadly applicable and interpretable to your unique application architecture than simple throughput or health checks.<br /><h3 style="text-align: left;">Is Application Performance Monitoring worth it?</h3>Instead of depending on the second or third order metrics about host or network utilization to understand your application’s performance, APM collects real-time performance data from the perspective of an end-user. Another bonus: real-time results of database queries and page load times are provided with APM in a way that’s not possible with host-based monitoring. This information can be invaluable in understanding how your application performs under load or while trying to track down bugs in your software. APM solutions provide alerting systems to IT Operations, Site Reliability Engineers, DevOps, and more to quickly troubleshoot performance issues and slowdowns.<br />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-35191022861255186752020-07-03T22:48:00.000+01:002020-07-03T22:48:29.902+01:00Operators and Sidecars Are the New Model for Software Delivery<p>Today’s developers are expected to develop resilient and scalable
distributed systems. Systems that are easy to patch in the face of
security concerns and easy to do low-risk incremental upgrades. Systems
that benefit from software reuse and innovation of the open source
model. Achieving all of this for different languages, using a variety of
application frameworks with embedded libraries is not possible.</p>
<p>Recently I’ve <a class="ext-link" href="https://www.infoq.com/articles/multi-runtime-microservice-architecture/" rel="external" target="_blank">blogged</a>
about “Multi-Runtime Microservices Architecture” where I have explored
the needs of distributed systems such as lifecycle management, advanced
networking, resource binding, state abstraction and how these
abstractions have been changing over the years. I also <a class="ext-link" href="https://www.youtube.com/watch?v=CZPEIJFJV9k" rel="external noopener noreferrer" target="_blank">spoke</a> about “The
Evolution of Distributed Systems on Kubernetes” covering how Kubernetes
Operators and the sidecar model are acting as the primary innovation
mechanisms for delivering the same distributed system primitives.</p>
<p>On both occasions, the main takeaway is the prediction that the
progression of software application architectures on Kubernetes moves
towards the sidecar model managed by operators. Sidecars and operators
could become a mainstream software distribution and consumption model
and in some cases even replace software libraries and frameworks as we
are used to.</p>
<p>The sidecar model allows the composition of applications written in
different languages to deliver joint value, faster and without the
runtime coupling. Let’s see a few concrete examples of sidecars and
operators, and then we will explore how this new software composition
paradigm could impact us.</p>
<h2>Out-of-Process Smarts on the Rise</h2>
<p>In Kubernetes, a sidecar is one of the <a class="ext-link" href="http://k8spatterns.io/" rel="external" target="_blank">core design patterns</a>
achieved easily by organizing multiple containers in a single Pod. The
Pod construct ensures that the containers are always placed on the same
node and can cooperate by interacting over networking, file system or
other IPC methods. And <a class="ext-link" href="https://kubernetes.io/docs/concepts/extend-kubernetes/operator/" rel="external" target="_blank">operators</a>
allow the automation, management and integration of the sidecars with
the rest of the platform. The sidecars represent a language-agnostic,
scalable data plane offering distributed primitives to custom
applications. And the operators represent their centralized management
and control plane.</p>
<p>Let’s look at a few popular manifestations of the sidecar model.</p>
<h3>Envoy</h3>
<p>Service Meshes such as Istio, Consul, and others are using transparent service proxies such as <a class="ext-link" href="https://www.envoyproxy.io/" rel="external" target="_blank">Envoy</a>
for delivering enhanced networking capabilities for distributed
systems. Envoy can improve security, it enables advanced traffic
management, improves resilience, adds deep monitoring and tracing
features. Not only that, it understands more and more Layer 7 protocols
such as Redis, MongoDB, MySQL and most recently Kafka. It also added
response caching capabilities and even WebAssembly support that will
enable all kinds of custom plugins. Envoy is an example of how a
transparent service proxy adds advanced networking capabilities to a
distributed system without including them into the runtime of the
distributed application components.</p>
<h3>Skupper</h3>
<p>In addition to the typical service mesh, there are also projects, such as<a class="ext-link" href="https://skupper.io/" rel="external" target="_blank"> Skupper</a>,
that ship application networking capabilities through an external
agent. Skupper solves multicluster Kubernetes communication challenges
through a Layer 7 virtual network and offers advanced routing and
connectivity capabilities. But rather than embedding Skupper into the
business service runtime, it runs an instance per Kubernetes namespace
which acts as a shared sidecar.</p>
<h3>Cloudstate</h3>
<p><a class="ext-link" href="https://cloudstate.io/" rel="external" target="_blank">Cloudstate</a>
is another example of the sidecar model, but this time for providing
stateful abstractions for the serverless development model. It offers
stateful primitives over GRPC for EventSourcing, CQRS, Pub/Sub,
Key/Value stores and other use cases. Again, it an example of sidecars
and operators in action but this time for the serverless programming
model.</p>
<h3>Dapr</h3>
<p><a class="ext-link" href="https://dapr.io/" rel="external" target="_blank">Dapr</a>
is a relatively young project started by Microsoft, and it is also
using the sidecar model for providing developer-focused distributed
system primitives. Dapr offers abstractions for state management,
service invocation and fault handling, resource bindings, pub/sub,
distributed tracing and others. Even though there is some overlap in the
capabilities provided by Dapr and Service Mesh, both are very different
in nature. Envoy with Istio is injected and runs transparently from the
service and represents an operational tool. Dapr, on the other hand,
has to be called explicitly from the application runtime over HTTP or
gRPC and it is an explicit sidecar targeted for developers. It is a
library for distributed primitives that is distributed and consumed as a
sidecar, a model that may become very attractive for developers
consuming distributed capabilities.</p>
<h3>Camel K</h3>
<p>Apache Camel is a mature integration library that rediscovers itself on Kubernetes. Its subproject <a class="ext-link" href="https://camel.apache.org/camel-k/latest/index.html" rel="external" target="_blank">Camel K</a>
uses heavily the operator model to improve the developer experience and
integrate deeply with the Kubernetes platform. While Camel K does not
rely on a sidecar, through its CLI and operator it is able to reuse the
same application container and execute any local code modification in a
remote Kubernetes cluster in less than a second. This is another example
of developer-targeted software consumption through the operator model.</p>
<h2>More to Come</h2>
<p>And these are only some of the pioneer projects exploring various
approaches through sidecars and operators. There is more work being done
to reduce the networking overhead introduced by container-based
distributed architectures such as the data plane development kit (<a class="ext-link" href="https://www.dpdk.org/" rel="external" target="_blank">DPDK</a>),
which is a userspace application that bypasses the layers of the Linux
kernel networking stack and access directly to the network hardware.
There is work in the Kubernetes project to create <a class="ext-link" href="https://github.com/kubernetes/enhancements/issues/753" rel="external" target="_blank">sidecar</a> containers with more granular lifecycle guarantees. There are new Java projects based on GraalVM implementation such as <a class="ext-link" href="https://quarkus.io/" rel="external" target="_blank">Quarkus</a>
that reduce the resource consumption and application startup time which
makes more workloads attractive for sidecars. All of these innovations
will make the side-car model more attractive and enable the creation of
even more such projects.</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1QnY1YGkJldoahUcmg8bg1DvxEYn8fn5lL_otLGwU1ykG3lkrUzh5lVrQrZ2aN-H1-iP6ghTtyZ7s8wc_rvIC3Qt-93RK8yKD3DgzM4lEdipgMteqhChUZ5kEagKWRoBjfJVVdCUPFtXH/d/multiruntine1.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Sidecars Providing Distributed Systems Primitives" border="0" data-original-height="944" data-original-width="1670" height="226" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi1QnY1YGkJldoahUcmg8bg1DvxEYn8fn5lL_otLGwU1ykG3lkrUzh5lVrQrZ2aN-H1-iP6ghTtyZ7s8wc_rvIC3Qt-93RK8yKD3DgzM4lEdipgMteqhChUZ5kEagKWRoBjfJVVdCUPFtXH/w400-h226/multiruntine1.png" title="Sidecars Providing Distributed Systems Primitives" width="400" /></a></div><div class="wp-caption aligncenter" id="attachment_11291779" style="width: 1680px;">Sidecars providing distributed systems primitives</div>
<p>I’d not be surprised to see projects coming up around more specific
use cases such as stateful orchestration of long-running processes such
as Business Process Model and Notation (BPMN) engines in sidecars. Job
schedulers in sidecars. Stateless integration engines i.e. Enterprise
Integration Patterns implementations in sidecars. Data abstractions and
data <a class="ext-link" href="https://github.com/teiid/teiid-operator" rel="external" target="_blank">federation</a> engines in sidecars. OAuth2/<a class="ext-link" href="https://github.com/louketo/louketo-proxy" rel="external" target="_blank">OpenID</a>
proxy in sidecars. Scalable database connection pools for serverless
workloads in sidecars. Application networks as sidecars, etc. But why
would software vendors and developers switch to this model? Let’s see a
few of the benefits it provides.</p>
<h2>Runtimes with Control Planes over Libraries</h2>
<p>If you are a software vendor today, probably you have already
considered offering your software to potential users as an API or a
SaaS-based solution. This is the fastest software consumption model and a
no-brainer to offer, when possible. Depending on the nature of the
software you may be also distributing your software as a library or a
runtime framework. Maybe it is time to consider if it can be offered as a
container with an operator too. This mechanism of distributing software
and the resulting architecture has some very unique benefits that the
library mechanism cannot offer.</p>
<h3>Supporting Polyglot Consumers</h3>
<p>By offering libraries to be consumable through open protocols and
standards, you open them up for all programming languages. A library
that runs as a sidecar and consumable over HTTP, using a text format
such as JSON does not require any specific client runtime library. Even
when gRPC and Protobuf are used for low-latency and high-performance
interactions, it is still easier to generate such clients than including
third party custom libraries in the application runtime and implement
certain interfaces.</p>
<h3>Application Architecture Agnostic</h3>
<p>The explicit sidecar architecture (as opposed to the transparent one)
is a way of software capability consumption as a separate runtime
behind a developer-focused API. It is an orthogonal feature that can be
added to any application whether that is monolithic, microservices,
functions-based, actor-based or anything in between. It can sit next to a
monolith in a less dynamic environment, or next to every microservice
in a dynamic cloud-based environment. It is trivial to create sidecars
on Kubernetes, and doable on many other software orchestration platforms
too.</p>
<h3>Tolerant to Release Impedance Mismatch</h3>
<p>Business logic is always custom and developed in house. Distributed
system primitives are well-known commodity features, and consumed
off-the-shelf as either platform features or runtime libraries. You
might be consuming software for state abstractions, messaging clients,
networking resiliency and monitoring libraries, etc. from third-party
open source projects or companies. And these third party entities have
their release cycles, critical fixes, CVE patches that impact your
software release cycles too. When third party libraries are consumed as a
separate runtime (sidecar), the upgrade process is simpler as it is
behind an API and it is not coupled with your application runtime. The
release impedance mismatch between your team and the consumed 3rd party
libraries vendors becomes easier to manage.</p>
<h3>Control Plane Included Mentality</h3>
<p>When a feature is consumed as a library, it is included in your
application runtime and it becomes your responsibility to understand how
it works, how to configure, monitor, tune and upgrade. That is because
the language runtimes (such as the JVM) and the runtime frameworks (such
as Spring Boot or application servers) dictate how a third-party
library can be included, configured, monitored and upgraded.<br />
When a software capability is consumed as a separate runtime (such as a
sidecar or standalone container) it comes with its own control plane in
the form of a <a href="https://thenewstack.io/automating-kubernetes-cluster-operations-operators/" target="_blank">Kubernetes operator</a>.</p>
<p>That has a lot of benefits as the control plane understands the
software it manages (the operand) and comes with all the necessary
management intelligence that otherwise would be distributed as
documentation and best practices. What’s more, operators also integrate
deeply with Kubernetes and offer a unique blend of platform integration
and operand management intelligence out-of-the-box. Operators are
created by the same developers who are creating the operands, they
understand the internals of the containerized features and know how to
operate the best. Operators are executables SREs in containers, and the <a class="ext-link" href="http://operatorhub.io/" rel="external" target="_blank">number</a> of operators and their capabilities are increasing steadily with more operators and <a class="ext-link" href="https://marketplace.redhat.com" rel="external" target="_blank">marketplaces</a> coming up.</p>
<h2>Software Distribution and Consumption in the Future</h2>
<h3>Software Distributed as Sidecars with Control Planes</h3>
<p>Let’s say you are a software provider of a Java framework. You may
distribute it as an archive or a Maven artifact. Maybe you have gone a
step further and you distribute a container image. In either case, in
today’s cloud-native world, that is not good enough. The users still
have to know how to patch and upgrade a running application with zero
downtime. They have to know what to backup and restore its state. They
have to know how to configure their monitoring and alerting thresholds.
They have to know how to detect and recover from complex failures. They
have to know how to tune an application based on the current load
profile.</p>
<p>In all of these and similar scenarios, intelligent control planes in
the form of Kubernetes operators are the answer. An operator
encapsulates platform and domain knowledge of an application in a
declaratively configured component to manage the workload.</p>
<blockquote><p>Sidecars and operators could become a mainstream software
distribution and consumption model and in some cases even replace
software libraries and frameworks as we are used to.</p></blockquote>
<p>Let’s assume that you are providing a software library that is
included in the consumer applications as a dependency. Maybe it is the
client-side library of the backend framework described above. If it is
in Java, for example, you may have certified it to run it on a JEE
server, provided Spring Boot Starters, Builders, Factories, and other
implementations that are all hidden behind a clean Java interface. You
may have even backported it to .Net too.</p>
<p>With Kubernetes operators and sidecars all of that is hidden from the
consumer. The factory classes are replaced by the operator, and the
only configuration interface is a YAML file for the custom resource. The
operator is then responsible for configuring the software and the
platform so that users can consume it as an explicit sidecar, or a
transparent proxy. In all cases, your application is available for
consumption over remote API and fully integrated with the platform
features and even other dependent operators. Let’s see how that happens.</p>
<h3>Software Consumed over Remote APIs Rather than Embedded Libraries</h3>
<p>One way to think about sidecars is similar to the composition over inheritance <a class="ext-link" href="https://en.wikipedia.org/wiki/Composition_over_inheritance" rel="external" target="_blank">principle</a>
in OOP, but in a polyglot context. It is a different way of organizing
the application responsibilities by composing capabilities from
different processes rather than including them into a single application
runtime as dependencies. When you consume software as a library, you
instantiate a class, call its methods by passing some value objects.
When you consume it as an out-of-process capability, you access a local
process. In this model, methods are replaced with APIs, in-process
methods invocation with HTTP or gRPC invocations, and value objects with
something like CloudEvents. This is a change from application servers
to Kubernetes as the distributed runtime. A change from
language-specific interfaces, to remote APIs. From in-memory calls to
HTTP, from value objects to CloudEvents, etc.</p>
<p>This requires software providers to distribute containers and
controllers to operate them. To create IDEs that are capable of building
and debugging multiple runtime services locally. CLIs for quickly
deploying code changes into Kubernetes and configuring the control
planes. Compilers that can decide what to compile in a custom
application runtime, what capabilities to consume from a sidecar and
what from the orchestration platform.</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGFR430zin76YjO-dyYmIYCp9KaQsm3zzxBJA3baJgST2IuCu0mryYJ0t_75ntUMak1524u1zTtzF6x3h6yUf4dEI5HrTPYaCToYO8mjYYl0E0fZrTMMv9s73krf_ItqowxCY8OQO_ockZ/d/softwareconsumers.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Software consumers and providers ecosystem" border="0" data-original-height="1076" data-original-width="2206" height="195" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgGFR430zin76YjO-dyYmIYCp9KaQsm3zzxBJA3baJgST2IuCu0mryYJ0t_75ntUMak1524u1zTtzF6x3h6yUf4dEI5HrTPYaCToYO8mjYYl0E0fZrTMMv9s73krf_ItqowxCY8OQO_ockZ/w400-h195/softwareconsumers.png" title="Software consumers and providers ecosystem" width="400" /></a></div><div class="wp-caption aligncenter" id="attachment_11291801" style="width: 2216px;">Software consumers and providers ecosystem</div>
<p>In the longer term, this will lead to the consolidation of
standardized APIs that are used for the consumption of common primitives
in sidecars. Rather than language-specific standards and APIs we will
have polyglot APIs. For example, rather than Java Database Connectivity
(JDBC) API, caching API for Java (JCache), Java Persistence API (JPA),
we will have polyglot APIs over HTTP using something like CloudEvents.
Sidecar centric APIs for messaging, caching, reliable networking, cron
jobs and timer scheduling, resource bindings (connectors to other APIs,
protocols), idempotency, SAGAs, etc. And all of these capabilities will
be delivered with the management layer included in the form of operators
and even wrapped with self-service UIs. The operators are key enablers
here as they will make this even more distributed architecture easy to
manage and self-operate on Kubernetes. The management interface of the
operator is defined by the CustomResourceDefinition and represents
another public-facing API that remains application-specific.</p>
<p>This is a big shift in mentality to a different way of distributing
and consuming software, driven by the speed of delivery and operability.
It is a shift from a single runtime to multi runtime application
architectures. It is a shift similar to what the hardware industry had
to go through from single-core to multicore platforms when Moore’s law
ended. It is a shift that is slowly happening by building all the
elements of the puzzle: we have uniformly adopted and standardized
containers, we have a de facto standard for orchestration through
Kubernetes, possibly improved sidecars coming soon, rapid operators
adoption, CloudEvents as a widely agreed standard, light runtimes such
as Quarkus, etc. With the foundation in place, applications,
productivity tools, practices, standardized APIs, and ecosystem will
come too.</p><p><i>This post was originally published at The New Stack <a href="https://thenewstack.io/operators-and-sidecars-are-the-new-model-for-software-delivery/" target="_blank">here</a>.</i><br /></p>Unknownnoreply@blogger.com1tag:blogger.com,1999:blog-3109111393630873407.post-69321620999839137832020-07-01T23:23:00.039+01:002022-05-02T21:08:12.224+01:00Architecting messaging solutions with Apache ActiveMQ Artemis<span data-cke-copybin-start="1"></span><span id="cke_bm_408S" style="display: none;"></span>As an architect in the Red Hat Consulting team, I’ve helped countless customers with their <a href="https://www.redhat.com/en/products/integration" target="_blank">integration</a> challenges over the last six years. Recently, I had a few consulting gigs around <a href="https://developers.redhat.com/products/amq/overview">Red Hat AMQ 7</a> Broker (the enterprise version of <a href="https://activemq.apache.org/components/artemis/" target="_blank">Apache ActiveMQ Artemis</a>), where the requirements and outcomes were similar. That similarity made me think that the whole requirement identification process and can be more structured and repeatable.<span data-cke-copybin-start="1"></span>
<p>This guide is intended for sharing what I learned from these few gigs in an attempt to make the AMQ Broker architecting process, the resulting deployment topologies, and the expected effort more predictable—at least for the common use cases. As such, what follows will be useful for messaging and integration consultants and architects tasked with creating a messaging architecture for Apache Artemis, and other messaging solutions in general. This article focuses on Apache Artemis. It doesn’t cover Apache Kafka, <a href="https://strimzi.io/" target="_blank">Strimzi</a>, Apache Qpid, EnMasse, or the EAP messaging system, which are all components of our <a href="https://developers.redhat.com/products/amq/overview" target="_blank">Red Hat AMQ 7</a> product offering.</p>
<h2>Typical customer requirements</h2>
<p>In my experience, a typical middleware use case has fairly basic messaging requirements and constraints that fall under a few general categories. Based on the findings in these areas, there are a few permutations of the possible solutions with pros and cons, and the final resulting architectures are fairly common. Designing, documenting, communicating the constraints and implementing these common architectures, should be well understood by messaging SMEs. Anything different from these standard architectures should be expected to require additional effort and lead to a bespoke architecture with unique non-functional and operational characteristics.</p>
<p>This article covers the following hypothetical but common messaging scenario. Here is a customer describing the typical messaging requirements:</p>
<ul><li>We have around 100 microservices with Spring Boot and Apache Camel that use messaging extensively.</li><li>All of our services are scalable and high availability (HA), and we expect the messaging layer to have similar characteristics.</li><li>We use mostly point-to-point but we also have a few publish-subscribe interactions.</li><li>Most of our messages are small in the KB range, but there are those that are fairly large in the single-digit MBs range.</li><li>We don’t know our current message throughput, it changes as we add new services using messaging.</li><li>We don’t use any exotic features, but we have use cases with message selectors, scheduled delivery, and TTL.</li><li>We need to preserve the message ordering with and without message grouping.</li><li>We primarily use JMS from our Java-based services and AMQP from the few .NET services.</li><li>We don’t like XA, but in a handful of services, we use distributed transactions involving the message broker.</li><li>We can replay messages if necessary, but we cannot lose any message, and we use only persistent messages.</li><li>We put all failed messages in DLQs and discard later.</li><li>We want to know all of the best practices and naming conventions.</li><li>All broker-to-broker communication and client-to-broker communication must be secured.</li><li>We want to control who can create queues, read and write messages, and browse.</li></ul>
<p>If you hear these above requirements, you are in familiar territory, and this article should be useful to you. If not, and there are specific hardware, throughput, topological, or other requirements, clone the Apache Artemis <a href="https://github.com/apache/activemq-artemis" target="_blank">repo</a> and go deeper. And don’t forget to share what you learn with others later.</p>
<h2>The constraints identification approach</h2>
<p>In addition to the obvious customer requirements and wishes, other hard and soft constraints will shape the resulting architecture. The customer might or might not be aware of these constraints and dependencies, and it is your job to dig deep and discover them all.</p>
<p>The approach I follow is to start from the fundamental and hard to change requirements, such as infrastructure and storage, as shown in Figure 1. Explore what options there are for each and document the constraints with pros and cons. Then, do the same for the orchestration layer, if present.</p>
<p>The fundamental constraints will then dictate what is possible in the upper layers, such as options for high availability and scalability. Further up in the layers the flexibility increases, and one can choose swap load balancers and different client implementations without impacting the layers below.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZXCbHuDKFC-8uy_Q-aAdjfb9BaA12fVBR4BDZX86vPSkozXpqRgqKSNjaW-xtCUqQ8jw_ezZ-K-4NXNJWyPHvKnrsqNr6s2Fs04-dJlM2Doj4E7lwCxaSiSe7oFgHTIDpoR2SjQs_o_sDF9uhuMeqvNFF-nFfzWfSqAr-Q7DxyDxmFZJtDK_empvCyw/s600/1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="458" data-original-width="600" height="244" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhZXCbHuDKFC-8uy_Q-aAdjfb9BaA12fVBR4BDZX86vPSkozXpqRgqKSNjaW-xtCUqQ8jw_ezZ-K-4NXNJWyPHvKnrsqNr6s2Fs04-dJlM2Doj4E7lwCxaSiSe7oFgHTIDpoR2SjQs_o_sDF9uhuMeqvNFF-nFfzWfSqAr-Q7DxyDxmFZJtDK_empvCyw/s320/1.png" width="320" /></a></div><br /><p></p>
<div aria-label="img_5df168dd09c78.png" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="5" data-cke-widget-wrapper="1" role="region" tabindex="-1"><figure class="rhd-u-has-filter-caption" role="group">Figure 1: Breaking down higher-level requirements into specific constraints.
</figure>
<span class="cke_reset cke_widget_drag_handler_container" style="background: url("https://developers.redhat.com/core/assets/vendor/ckeditor/plugins/widget/images/handle.png") rgba(220, 220, 220, 0.5); left: 0px; top: -15px;"></span></div>
<p>Finding the answers to these points and identifying what is most important and where the customer is willing to make a compromise will help you identify a workable architecture. Next, let’s go deeper, and see what the specific constraints are for an Apache Artemis-based solution.</p>
<h2>Infrastructure</h2>
<p>This an area where the customer will have the least amount of flexibility, and your goal is to identify how the message broker fits within the available infrastructure in a reliable configuration. It is unlikely that a customer will change their infrastructure provider for their messaging needs, so try to identify a fit-for-purpose solution.</p>
<p>Typically, common messaging infrastructures are based on on-premise infrastructure with virtualizers, NFS storage, and F5 load balancers. This infrastructure all can be within a single data center or spread across two data centers (rather than three, unfortunately). In an alternative scenario, the customer might be using AWS (or equivalent), such as EC2, EBS, EFS, RDS, or ELBs. Typically, all of these options spread across three AZs in a single region. That is the most common AWS setup for a small-to-midsize integration use case.</p>
<p>Apart from computing, storage, and load balancers, at this stage, we want to identify the data center's topology, network latency, and throughput. Is the client using a single datacenter, two data centers, or any other odd number? Is it an active-active, or active-passive data center topology?</p>
<p>Last but not least, what are the operating system, JDK, and client stacks? This information is easily verifiable from the AMQ 7-supported <a href="https://access.redhat.com/articles/2791941" target="_blank">configuration</a> page, including what is tested, what is supported, for how long, and whatnot.</p>
<p>While on-premise and cloud-based infrastructures offer similar resources, the difference typically is in the number of data centers and the operation, failover, and disaster recovery models. Influencing these fundamental models is a slow process, which is why we want to identify these constraints first.</p>
<h2>Storage</h2>
<p>Once we have identified the broader infrastructure level details, the next step is to focus on storage. Storage is a part of the infrastructure layer but it requires separate considerations here. When HA is a requirement (which is always the case), storage is the most critical and limiting factor for the messaging architecture. Pay special attention to what options the customer's infrastructure offers, as the answer will significantly limit the possible deployment topologies.</p>
<h3>Storage capacity</h3>
<p>Capacity is hardly a real issue, as typically there are many unknowns when estimating the exact storage capacity required. Most customers:</p>
<ul><li>Use the message broker as their temporary staging area, where messages are consumed as fast as the consumers can handle. Typically there are no consumer service RPOs defined, and it is not clear for how long messages can keep accumulating.</li><li>Put messages into DLQs, but will not have a clear idea of what to do with these messages later. Replaying failed messages is dependent on the actual business requirements and is not always desirable.</li><li>Expect that if a message is 1MB in size, it will consume 1MB on the disk. As you all know from experience by now, that is not the case. The same message could end up consuming multiple times more storage, depending on the type of messaging interaction style, caching, and other configurations.</li></ul>
<p>All of these and other scenarios can lead to the accumulation of messages in the broker and consume hundreds of gigabytes of storage. If the customer has no answers to these points, the only proven approach for estimating the required storage size is "finger in the air." Luckily, Artemis—like its predecessors—has <a href="https://activemq.apache.org/components/artemis/documentation/latest/flow-control.html" target="_blank">flow control</a>, which can protect the broker from running out of storage. This question typically comes down to whether to throw an exception or block the producers to protect the broker.</p>
<h3>Storage type</h3>
<p>Storage type is much more important and dictates what high-availability options will be required later. For example, if the broker is on Kubernetes, there is no master/slave, and therefore, there is no need for a shared file system with a distributed lock such as NFSv4, GFS2, or GlusterFS. But, the file system should ensure that the journal has high availability.</p>
<p>When the broker is on VMs (not on Kubernetes), the simpler option to implement and operate is to use a supported shared file system. Notice that AWS EFS service is not a full NFSv4 spec, but it is still supported as a shared storage option for Artemis. If a shared file system is not present, alternatively, you can use a relational database as storage with a potential performance hit. Check which relational databases are supported (currently, that is Oracle, DB2, MSSQL). Note that using AWS RDS is a viable option here too.</p>
<p>If no shared file system or relational database is possible, you can consider replication. Replication requires additional considerations. One big advantage of replication is that the messaging and middleware team will not depend on any storage team to provision the infrastructure. Also, there won’t be a cost for shared filesystems or relational databases, and the broker performs its data replication. There are customers who like this aspect, but all good things come at a cost, such as the fact that a reliable replication requires a minimum of three master and three slave brokers to avoid split-brain situations.</p>
<p>There is also the option of using <a href="https://access.redhat.com/documentation/en-us/red_hat_amq/7.4/html/configuring_amq_broker/setting-up-broker-cluster-configuring#configuring-high-availability-configuring" target="_blank">the network pinger</a>, which is risky and not recommended in practice. The network pinger avoids the need for three of everything, but you should only use the network pinger if you are unable to use three or more live backup groups. If you are using the replication high availability policy, and if you have only a single live backup pair, configuring network pinging reduces (but does not remove) the chances of encountering network isolation.</p>
<p>Another cost is that split-brain could happen, not only for network partitions and server crashes, but also as a consequence of overload, CPU starvation, long I/O waits, long garbage collection pauses, and other reasons. Also, replication can happen only within a single datacenter and LAN and requires a reliable, low-latency network. AWS AZs in the same region are considered different data centers, as Amazon does not commit to networking latency SLAs either. Finally, replication also has a performance hit compared to a shared store option.</p>
<p>Ultimately, the critical point about storage is that while we can make the broker process and the client process HA, the datastore itself also has to be HA and durable, and this is possible only through data replication. As part of AMQ architecture, it is important to identify who is replicating the data (the file system, the database, or the message broker itself through replication) to ensure that the data is highly available.</p>
<h2>Orchestration</h2>
<p>Here, the question boils down to checking whether the customer will run the message broker on container orchestrators such as Kubernetes and <a href="http://developers.redhat.com/openshift/">Red Hat OpenShift</a>, on bare VMs through homegrown bash scripts, or Red Hat Ansible <a href="https://github.com/redhat-cop/ansible-middleware-playbooks" target="_blank">playbooks</a>. If the customer is not targeting OpenShift, the questions in this section can be skipped. If the messaging infrastructure will run on containers and be orchestrated by Kubernetes, there are a few constraints and architectural implications to consider.</p>
<p>For example, there is no master/slave failover (so no hot backup broker present). Instead, there is a single pod per broker instance that is health monitored and restarted by Kubernetes, which ensures broker HA. The single pod failover process with Kubernetes is different from master/slave with replication failover on-premise. Because there is no master/slave failover, there is no need for message replication between master/slave either. There is also no need for distributed file locking, which means that there is no need for a shared file system with distributed locking capabilities and that one can still use these file systems to mount the same storage to different Kubernetes nodes and pods, but the locking capability of the file system is not a prerequisite any longer.</p>
<p>For example, in the case of a node failure, Kubernetes would start a broker pod on a different node and make the same PV and data available. Because there is no master/slave, there is no need for ReadWriteMany, but only for ReadWriteOnce volume types. That said, you might still need a shared file system that can be mounted to different nodes in the case of node failure (such as AWS EBS, which can be mounted to different EC2 instances in the same region).</p>
<p>So, are there messaging clients located outside of the cluster? Connecting to the broker from within an OpenShift cluster is straightforward through Kubernetes services, but there are restrictions for connecting to the broker from outside of the Kubernetes cluster.</p>
<p>Next, can external clients use a protocol that supports SNI? The easiest option is typically to use SSL and access the broker from the <a href="https://access.redhat.com/documentation/en-us/red_hat_amq/7.3/html-single/deploying_amq_broker_on_openshift_container_platform/index#creating-route-ocp_broker-ocp" target="_blank">router</a>. If using TLS for clients is not possible, consider using NodePort <a href="https://access.redhat.com/documentation/en-us/red_hat_amq/7.3/html-single/deploying_amq_broker_on_openshift_container_platform/index#basic_client_cluster_port_binding" target="_blank">binding</a> which requires cluster-admin permissions.</p>
<p>Finally, there is a <a href="https://access.redhat.com/documentation/en-us/red_hat_amq/7.2/html-single/deploying_amq_broker_on_openshift_container_platform/index#journal-recovery-broker-ocp" target="_blank">scaledown controller</a> to drain and migrate messages when scaling down broker pods in a cluster.</p>
<p>There might be a few other differences, but failover, discovery, and scaledown is automated, and the broker fundamentals do not change on Kubernetes and Openshift.</p>
<h2>High availability</h2>
<p>When a customer talks about "high availability," what they mean is a full-stack, highly-available messaging layer. That means HA storage, HA brokers, HA clients, HA load balancers, and HA anything else that might be in between. To cover this scenario, you have to consider the availability of every component in the stack, as shown in Figure 2:</p>
<div aria-label="img_5df16f78bf119" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="4" data-cke-widget-wrapper="1" role="region" tabindex="-1">
<figure class="rhd-u-has-filter-caption" role="group">
<div class="rhd-c-figure" style="position: relative;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6ghx9O-KLWk6vsE6NJnfZ73p5gV6RBthcDbP6royp2CdaIljs4i8s0nm92WGmSLy1trsuyxuQ4U_frN9boLPqz1kkbdZaPQsuOawnwr5nwMfCMF_-ylK7KFJzpPc5VUaXdtuT-YtS82xgJTmDDLe7iDClqwD5ivzNqUxcO0fW4_VDn-SKJoPOod2lvA/s600/2.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="557" data-original-width="600" height="297" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6ghx9O-KLWk6vsE6NJnfZ73p5gV6RBthcDbP6royp2CdaIljs4i8s0nm92WGmSLy1trsuyxuQ4U_frN9boLPqz1kkbdZaPQsuOawnwr5nwMfCMF_-ylK7KFJzpPc5VUaXdtuT-YtS82xgJTmDDLe7iDClqwD5ivzNqUxcO0fW4_VDn-SKJoPOod2lvA/s320/2.png" width="320" /></a></div> </div><div class="rhd-c-figure" style="position: relative;">Figure 2: Redundancy at every layer.
</div></figure>
</div>
<h3>Storage</h3>
<p>The only way to ensure HA for data is by replicating the data. You have to identify who replicates the data and where the data is replicated: locally, across VMs, across DCs, and so on. Most customers will want to survive a single data center outage without a message loss, which requires a cross data center replication mechanism. The easiest option is to delegate the journal replication to the file system. This option has implications on cost and dependency on infrastructure teams. For example, if you replicate data using a database, consider the cost and performance hit. If you replicate data using Artemis journal replication but consider the customer's maturity to operate a broker cluster, consider split-brain scenarios, data center latencies, and performance hits.</p>
<h3>Broker</h3>
<p>On Kubernetes, broker HA is achieved through health checks and container restarts. On-premise, the broker HA is achieved through master/slave (shared store or replication). When replication is used, the slave will already hold the queues in memory, and therefore is pretty much ready to go in case of failover. With shared storage, when the slave gets hold of the lock, then the queues need to be read from the journals ahead of the slave takeover. The time for a shared storage slave to take over will be dependent on the number and size of messages in the journal.</p>
<p>When we talk about broker HA, it comes down to an active-passive failover mechanism (with Kubernetes being an exception). But Artemis also has an active-active clustering mechanism used primarily for scalability rather than HA. In active-active clustering, every message belongs to only one broker, and losing an active broker will make its messages also unaccessible—but a positive side effect of that issue is that the broker infrastructure is still up and functioning. Clients can use active instances and exchange messages with the drawback of temporarily not accessing the messages that are in the failed broker. To sum up, active-active clustering is primarily for scalability, but it also partially improves the availability with temporary message unavailability.</p>
<h3>Load balancer</h3>
<p>If there is a load balancer, prefer one that is already HA in the organization, such as F5s. If Qpid is used, you will need two or more active instances for high availability.</p>
<h3>Clients</h3>
<p>This is probably the easiest part, as most customers will already run the client services in redundantly HA fashion, which means two or more instances of consumers and producers most of the time. A side effect of running multiple consumers is that message ordering is not guaranteed. This is where message groups and exclusive consumers can be used.</p>
<h2>Scalability</h2>
<p>Scalability is relatively easier to achieve with Artemis. Primarily, there are two approaches to scaling the message broker.</p>
<h3>Active-active clustering</h3>
<p>Create a single logical broker cluster that is scaled transparently from the clients. This can be three masters and three slaves (replication or shared storage doesn’t matter) to start with, which means that clients can use any of the masters to produce and consume the messages. The broker will perform load balancing and message distributions. Such a messaging infrastructure is scalable and supports many queues and topics with different messaging patterns. Artemis can handle large and small messages effectively, so there is no need for using separate broker clusters depending on the message size either.</p>
<p>A few of the consequences of active-active clustering are:</p>
<ul><li>Message ordering is not preserved.</li><li>Message grouping needs to be clustered.</li><li>Scaling down requires message draining.</li><li>Browsing the brokers and the queues is not centralized.</li></ul>
<h3>Client-side partitioning</h3>
<p>Create separate, smaller master/slave clusters for different purposes. You can have a separate master/slave cluster for real-time, batch, small messages, large messages, per business domain, criticality, team, etc. When a broker pair reaches its capacity limit, create a separate broker pair and reconfigure clients to use it.</p>
<p>This technique works as long as the clients can choose which cluster to connect to (hence the name client-side partitioning). There is also a use case here for <a href="https://qpid.apache.org/" target="_blank">Apache Qpid</a> where you can add new brokers and assign addresses to them without the clients needing to know anything about the location of these brokers, and therefore, simplifying the clients and making the messaging network dynamic.</p>
<h3>Load balancer</h3>
<p>While a load balancer is not a mandatory component of the messaging stack, it is an architectural decision whether you are going to use client-side load balancing or an external load balancer. With an external load balancer, you have the fact that customers like using their existing load balancers such as F5 for messaging, too. Plus, load balancers:</p>
<ul><li>Already exist in many organizations, they are already HA, and they support many protocols—so it makes sense to use them for messaging too.</li><li>Allow a single IP for all clients.</li><li>Can do health checks and failover to the master broker (that is, a probe attempting to connect to the relevant acceptor).</li></ul>
<p>There are clients, such as the .NET client with the AMQP protocol, do not support the failover protocol OOTB (here is also an <a href="https://github.com/Azure/amqpnetlite/blob/master/Examples/Reconnect/ReconnectSender/ReconnectSender.cs" target="_blank">example</a> showing how to mitigate this limitation). Using a load balancer helps with these clients.</p>
<h4>Apache Qpid</h4>
<p>Apache Qpid can act as an intelligent load balancer for the AMQP protocol only. It supports closest-, lowest latency-, and multicasting-type distributions. You will need to run multiple instances of Qpid to make it HA. That means the clients have to be configured to use multiple IPs. Qpid can also support many topologies, and allow having connections from more secure to less secure directions rather than the other way.</p>
<p>Qpid comes into its own in a geographically-spread meshing message where clients do not know the location of each other and any of the brokers they might be sending messages to, bi-directional messaging beyond the firewall, and building redundant messaging network routes. It's also easy to scale the number of brokers without changing the clients, and the topology can change without a change to the clients as well (dynamic messaging infrastructure).</p>
<p>You can also use Qpid to create multiple brokers sharding an address without the need to use broker clustering, but this feature is only useful if message ordering is not that important, or to act as a client connection concatenator (especially useful for IoT scenarios).</p>
<h4>Client-side load balancing</h4>
<p>Using a load balancer is not required in reality. You can configure messaging clients to connect to a broker cluster directly. A client can connect to a single broker and discover all other brokers, changing topologies, etc. Consider what happens if the single broker the client is trying to connect is down. For the answer, a list of broker IPs can be passed, and custom load balancing strategies implemented.</p>
<p>Client-side load balancing has advantages: The client can publish to multiple brokers and perform load balancing. This feature can be disabled if publishing to a single broker is required. The downside here is that the client-side load balancing is a client-specific implementation, and the options mentioned here vary across clients.</p>
<h2>Clients</h2>
<p>With Artemis, there are multiple clients, protocols, and possible combinations. In terms of protocols, here are a few high-level pointers. Another thing to consider here is which protocol can be <a href="https://access.redhat.com/articles/2791941#broker" target="_blank">converted</a> to which protocols when consumers and producers use different wire protocols and clients. The protocol and client choices are unlikely to impact the broker architecture, but they will impact the client service development efforts, and this issue can easily turn into a mess.</p>
<h3>AMQP 1.0</h3>
<p>AMQP 1.0 should be the default starting option when possible. This option is one of the most tested and used. It is also cross-language, and the only supported option for .NET clients. Keep in mind that Interconnect (the enterprise version of Apache Qpid) supports AMQP 1.0 only, and if Interconnect is in the architecture, the clients have to use AMQP to interact with it.</p>
<p>A limitation of AMQP is that it does not offer XA transaction support</p>
<h3>Core</h3>
<p>The Core protocol is one of the most advanced, feature-rich, and tested protocols for Artemis. It is the only supported protocol when using EAP with embedded Artemis, and it is the recommended protocol when XA is required.</p>
<h3>OpenWire</h3>
<p>This protocol is here for legacy compatibility reasons with AMQ 6 (Apache ActiveMQ broker) clients. It is useful in situations when the client code cannot change, so you are stuck with OpenWire. An attractive point about this protocol is that it supports XA.</p>
<h2>Reference architectures</h2>
<p>Having identified requirements, dependencies, and specific constraints, the next step is coming up with possible deployment architectures. I’m a firm believer in the mantra, "There is no reference architecture for the real world." Consequently, there is no simple process to follow and map the findings to a target architecture. It is the combination of all requirements, constraints, and possible compromises that lead to identifying the most suitable architecture for a customer.</p>
<p>For demonstration purposes, the following are common Artemis deployment topologies for AWS, on bare VMS instead of Kubernetes. The same topologies also apply for on-premise deployments where similar alternative infrastructure services are present. The considerations that apply to all of the deployments below are:</p>
<ul><li>Client-side load balancing or a load balancer can be used for all of these deployments.</li><li>Load balancers can be co-located with the broker, client, in a dedicated layer, or a combination of these.</li><li>Slave brokers can be kept in separate hosts as demonstrated below, or co-located with a master broker.</li></ul>
<h3>Non-clustered Apache Artemis with shared storage</h3>
<p>The simplest HA architecture for Artemis is a single master/slave cluster with shared storage. The example that follows is a scalable version of that set up with two separate master/slave clusters. Notice that there is no clustering (server-side message distribution or load balancing) between the masters. As a result, the clients need to decide which master/slave cluster to use.</p>
<h4>Pros</h4>
<p>The pros of this approach are:</p>
<ul><li>It is a simple but highly available Artemis configuration and operational model.</li><li>It is the same topology as in Apache ActiveMQ with master/slave.</li><li>There is no possibility for split-brain, no stuck messages, and message order guaranteed.</li></ul>
<h4>Cons</h4>
<p>The cons are that this approach requires a shared file system or database, which has an additional cost. Typically, database-based storage is expected to perform worse than file-based storage.</p>
<h4>Other notes</h4>
<p>Additional notes include the fact that journal high availability is achieved through file system or database (AWS EFS or RDS ) data replication. Optionally, masters can be clustered for message distribution, load balancing, and scalability. The number of master/slave pairs can vary (there are two in Figure 3), and scaling is achieved by adding more master/slave pairs and using client-side partitioning.</p>
<p>Also, in the case of VM or DC failure, it ensures HA.</p><p> </p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzX98CPQP_56YLyylkEVmZR5HxPSSnszZJyQY7FjVrkMlMfiI2rpSDrQIbJh0-3mxpxOdSnJSmG-fLlwiTUN2qmREKE2t-fz3zAwPx4gt4vmBOk6CQfMSgCK5QxglvF4GTThOlR6ydHHkb6y3RFk32E5DlR2C7cnVh1xnGtwRpL5RQs4bFUm_dXyuT1g/s600/3.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="572" data-original-width="600" height="305" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzX98CPQP_56YLyylkEVmZR5HxPSSnszZJyQY7FjVrkMlMfiI2rpSDrQIbJh0-3mxpxOdSnJSmG-fLlwiTUN2qmREKE2t-fz3zAwPx4gt4vmBOk6CQfMSgCK5QxglvF4GTThOlR6ydHHkb6y3RFk32E5DlR2C7cnVh1xnGtwRpL5RQs4bFUm_dXyuT1g/s320/3.png" width="320" /></a></div><br /><p></p><p>Figure 3: Apache Artemis with a shared file and database store.
</p>
<h3>Clustered Apache Artemis with shared storage</h3>
<p>In this topology, we have three master/slave pairs, ensuring HA. In addition, all of the masters are clustered and provide server-side load balancing and message distribution. In this setup, the clients can connect to any member of the cluster and exchange messages. Such a cluster can also scale and change topology without affecting client configuration.</p>
<h4>Pros</h4>
<p>The pros of this option are that it offers:</p>
<ul><li>The same topology as in Apache ActiveMQ with master/slave and Network-of-Brokers.</li><li>Server-side message distribution and load balancing.</li><li>No possibility for split-brain scenarios.</li></ul>
<h4>Cons</h4>
<p>The cons are that it requires a shared file system or database, which has an additional cost. Typically, database-based storage is expected to perform worse than file-based storage.</p>
<h4>Other notes</h4>
<p>With this approach, journal high availability is achieved through file system or database (AWS EFS/RDS ) data replication. Optionally, masters can be non-clustered to prevent server-side load balancing. The number of master/slave pairs can vary (there are three in Figure 4), and scaling is achieved by adding more master/slave pairs transparently to the clients.</p>
<p>Finally, this approach ensures HA in the case of VM or DC failure.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjoefLfbSVvTA5LtNJhIVOjSc0s8mI4PfWoNPBmKVolSwVJIsmsXbbCi77P4rRni8QTuKXtWSCgb-tH81NwbeG4rLRe353n5Mvah3GEcyi8QDfnNblm_HznCyA2br8QiWdHccYKtfxdMdNgdwgWJHbj0UASnZCVBfCcBJPlUBSTyeFJoADyPxFWsHvxlg/s600/4.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="418" data-original-width="600" height="223" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjoefLfbSVvTA5LtNJhIVOjSc0s8mI4PfWoNPBmKVolSwVJIsmsXbbCi77P4rRni8QTuKXtWSCgb-tH81NwbeG4rLRe353n5Mvah3GEcyi8QDfnNblm_HznCyA2br8QiWdHccYKtfxdMdNgdwgWJHbj0UASnZCVBfCcBJPlUBSTyeFJoADyPxFWsHvxlg/s320/4.png" width="320" /></a></div> Figure 4: Apache Artemis with a shared file and database store.
<p></p>
<h3>Clustered Apache Artemis with replication</h3>
<p>This architecture is a variation of the previous one, where we replace shared storage between Master and slave with replication. As such, this architecture has all of the benefits of server-side load-balancing and transparency for the clients. An added benefit of this architecture is that it does not require a highly-available shares storage layer. Instead, the brokers replicate the data.</p>
<h4>Pros</h4>
<p>The pros of this approach are that:</p>
<ul><li>Data replication is performed by the broker, not by the infrastructure services.</li><li>There is no extra cost or dependency on the infrastructure for journal replication.</li><li>It offers scalable and highly available messaging infrastructure.</li></ul>
<h4>Cons</h4>
<p>The cons are that:</p>
<ul><li>Replication is sensitive to network latency, opening the possibility of split-brain scenarios. Notice that the replication in Figure 4 is within the same DC.</li><li>Compared to other options, this one has complex configuration and operational models.</li><li>It requires a minimum of three master and three slave brokers (as in the diagram below).</li></ul>
<h4>Other notes</h4>
<p>With this approach:</p>
<ul><li>The number of master/slave pairs can be different (odd number required).</li><li>Optionally, server-side message distribution and load balancing can be disabled.</li><li>It ensures HA in the case of VM failure, but not in the case of DC failure.</li><li>It requires a quorum and a certain number of brokers to be alive.</li></ul>
<div aria-label="img_5df1717ae59b3" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="1" data-cke-widget-wrapper="1" role="region" tabindex="-1">
<figure class="rhd-u-has-filter-caption" role="group">
<div class="rhd-c-figure" style="position: relative;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgUqfKvX6xDe-qDPbeqSA9KO77EHDYDhi13COnQOu719tN_d6JntayQ6GwL7uh5ZmhQmhPyOOZ165aA0_ZBVprilnKDbDDz4nd00CnvK8VyIPD8PnXwumLBLmYISawoDjmeBVTgiggOTU1CQJfALegKm7TJfMxOdaQ9WUrZki8bHR-FfzAgbSAyjB5ROw/s600/5.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="412" data-original-width="600" height="220" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgUqfKvX6xDe-qDPbeqSA9KO77EHDYDhi13COnQOu719tN_d6JntayQ6GwL7uh5ZmhQmhPyOOZ165aA0_ZBVprilnKDbDDz4nd00CnvK8VyIPD8PnXwumLBLmYISawoDjmeBVTgiggOTU1CQJfALegKm7TJfMxOdaQ9WUrZki8bHR-FfzAgbSAyjB5ROw/s320/5.png" width="320" /></a></div><br /> </div><div class="rhd-c-figure" style="position: relative;">Figure 5: Apache Artemis with replication.
</div></figure>
</div>
<h2>Capacity planning</h2>
<p>The numbers and ranges shown in Figure 5 are provided only as a guide and starting point. Depending on the use case, you might have to scale up or down your individual architectural components.</p>
<div aria-label="img_5df171f0b6138" class="cke_widget_wrapper cke_widget_block cke_widget_drupalmedia cke_widget_selected" contenteditable="false" data-cke-display-name="Embedded media" data-cke-filter="off" data-cke-widget-id="0" data-cke-widget-wrapper="1" role="region" tabindex="-1">
<figure class="rhd-u-has-filter-caption" role="group">
<div class="rhd-c-figure" style="position: relative;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjw9YoYHdmFb35jf-TSxqnzUsI4OJFb2SeRbP-Nw4U0-Ss58JBzrY-Vjla9NKrqTJqhOBvdZ3-98Rl3C9YGNloOvedNI6A9AhVatu8qQ-x4ldXiywEalprM9NKzMaupqQhFRJVfWuhcewNafOfXvzU6Sin6uBG7l50kGLoeEJxOvIeMNwFNIlATh1tJTQ/s600/6.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="213" data-original-width="600" height="114" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjw9YoYHdmFb35jf-TSxqnzUsI4OJFb2SeRbP-Nw4U0-Ss58JBzrY-Vjla9NKrqTJqhOBvdZ3-98Rl3C9YGNloOvedNI6A9AhVatu8qQ-x4ldXiywEalprM9NKzMaupqQhFRJVfWuhcewNafOfXvzU6Sin6uBG7l50kGLoeEJxOvIeMNwFNIlATh1tJTQ/s320/6.png" width="320" /></a></div>Figure 5: Example sizing and considerations for the messaging components.</div></figure>
</div>
<h2>Summary</h2>
<p>Over the years, I have hardly seen two messaging architectures that are absolutely the same. Every organization has something unique in the way they manage their infrastructure and organize their teams, and that inevitably ends up reflected in the resulting architectures. Your job as a consultant or architect is to find the most suitable architecture within the current constraints, and educate and guide the customer towards the best possible outcome. There is no right or wrong architecture, but deliberate trade-off commitments in a context.</p>
<p>In this article, I tried to cover as many areas of Artemis as possible from an architecturally significant point of view. But by doing so, I had to be opinionated, ignore other areas, and emphasize what I think is significant based on my experience. I hope you find it useful and learned something from it. If that is the case, say something on <a href="http://twitter.com/bibryam" target="_blank">Twitter</a> and spread the word. This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/blog/2020/01/10/architecting-messaging-solutions-with-apache-activemq-artemis" target="_blank">here</a>. <br /></p>
<span data-cke-copybin-end="1"></span>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-81324648197239157942020-05-28T00:16:00.001+01:002020-06-02T14:15:07.248+01:00 Multi-Runtime Microservices Architecture<p>Creating good distributed applications is not an easy task: such systems often follow the 12-factor app and microservices principles.
They have to be stateless, scalable, configurable, independently released, containerized, automatable, and sometimes event-driven and
serverless. Once created, they should be easy to upgrade and affordable to maintain in the long term. Finding a good balance among these
competing requirements with today’s technology is still a difficult endeavor.<br /> <br />
In this article, I will explore how distributed platforms are evolving
to enable such a balance, and more importantly, what else needs to
happen in the evolution of distributed systems to ease the creation of maintainable distributed architectures. If you prefer to see my talk on this very same topic, checkout my <a href="https://www.infoq.com/presentations/kubernetes-primitives-design-patterns/" target="_blank">QConLondon</a> recording at InfoQ.</p>
<h2>Distributed application needs</h2>
<p>For this discussion, I will group the needs of modern distributed
applications into four categories — lifecycle, networking, state,
binding — and analyze briefly how they are evolving in recent years.</p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAw7FffGVTVYQ8pbrgSD9g03Ayo-TSigivC0K1nhGSlBMdamc5c7y9GFCPmUprIKDEejnIuAIAFv0o3F5HGKc62G1YVK7TlmmbtL3MvUjRMZ1dhyphenhyphenrIbJ9budq4Bdb464c3ixS6tIvOxUVq/d/Screenshot+2020-05-27+at+23.41.28.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Distributed application needs" border="0" data-original-height="1558" data-original-width="2412" height="207" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiAw7FffGVTVYQ8pbrgSD9g03Ayo-TSigivC0K1nhGSlBMdamc5c7y9GFCPmUprIKDEejnIuAIAFv0o3F5HGKc62G1YVK7TlmmbtL3MvUjRMZ1dhyphenhyphenrIbJ9budq4Bdb464c3ixS6tIvOxUVq/w320-h207/Screenshot+2020-05-27+at+23.41.28.png" title="Distributed application needs" width="320" /></a></div><div style="text-align: center;"><small><i><small>Distributed application needs</small></i></small></div><h3>Lifecycle</h3><p>Let’s start with the foundation. When we write a piece of functionality,
the programming language dictates the available libraries in the
ecosystem, the packaging format, and the runtime. For example, Java uses
the .jar format, all the Maven dependencies as an ecosystem, and the
JVM as the runtime. Nowadays, with faster release cycles, what’s more
important with lifecycle is the ability to deploy, recover from errors,
and scale services in an automated way. This group of capabilities
represents broadly our application lifecycle needs.</p><h3>Networking</h3>
<p>Almost every application today is a distributed application in some
sense and therefore needs networking. But modern distributed systems
need to master networking from a wider perspective. Starting with
service discovery and error recovery, to enabling modern software
release techniques and all kinds of tracing and telemetry too. For our
purpose, we will even include in this category the different message
exchange patterns, point-to-point and pub/sub methods, and smart routing mechanisms.</p>
<h3>State</h3>
<p>When we talk about state, typically it is about the service state and
why it is preferable to be stateless. But the platform itself that
manages our services needs state. That is required for doing reliable
service orchestration and workflows, distributed singleton, temporal
scheduling (cron jobs), idempotency, stateful error recovery, caching,
etc. All of the capabilities listed here rely on having state under the
hood. While the actual state management is not the scope of this post,
the distributed primitives and their abstractions that depend on state
are of interest.</p>
<h3>Binding</h3>
<p>The components of distributed systems not only have to talk
to each other but also integrate with modern or legacy external systems.
That requires connectors that can convert various protocols, support
different message exchange patterns, such as polling, event-driven,
request/reply, transform message formats, and even be able to perform
custom error recovery procedures and security mechanisms.</p>
<p>Without going into one-off use cases, the above represent a good
collection of common primitives required for creating good distributed
systems. Today, many platforms offer such features, but what we are
looking for in this article is how the way we used these features
changed in the last decade and how it will look in the next one. For
comparison, let’s look at the past decade and see how Java-based
middleware addressed these needs.</p><h2>Traditional middleware limitations</h2>
<p>One of the well-known traditional solutions satisfying an older
generation of the above-listed needs is the Enterprise Service Bus (ESB)
and its variants, such as Message Oriented Middleware, lighter
integration frameworks, and others. An ESB is a middleware that enables
interoperability among heterogeneous environments using a
service-oriented architecture (i.e. classical SOA).</p>
<p>While an ESB would offer you a good feature set, the main challenge
with ESBs was the monolithic architecture and tight technological
coupling between business logic and platform, which led to technological
and organizational centralization. When a service was developed and
deployed into such a system, it was deeply coupled with the distributed
system framework, which in turn limited the evolution of the service.
This often only became apparent later in the life of the software.</p>
<p>Here are a few of the issues and limitations of each category of needs that makes ESBs not useful in the modern era.</p>
<h3>Lifecycle</h3>
<p>In traditional middleware, there is usually a single supported
language runtime, (such as Java), which dictates how the software is
packaged, what libraries are available, how often they have to be
patched, etc. The business service has to use these libraries that
tightly couple it with the platform which is written in the same
language. In practice, that leads to coordinated services and platform
upgrades which prevents independent and regular service and platform
releases.</p>
<h3>Networking</h3>
<p>While a traditional piece of middleware has an advanced feature set
focused around interaction with other internal and external services, it
has a few major drawbacks. The networking capabilities are centered
around one primary language and its related technologies. For Java
language, that is JMS, JDBC, JTA, etc. More importantly, the networking
concerns and semantics are deeply engraved into the business service as
well. There are libraries with abstractions to cope with the networking
concerns (such as the once-popular Hystrix project), but the library’s
abstractions "leak" into the service its programming model, exchange
patterns and error handling semantics, and the library itself. While it
is handy to code and read the whole business logic mixed with networking
aspect in a single location, this tightly couples both concerns into a
single implementation and, ultimately, a joint evolutionary path.</p>
<h3>State</h3>
<p>To do reliable service orchestration, business process management,
and implement patterns, such as the Saga Pattern and other slow-running
processes, platforms require persistent state behind the scenes.
Similarly, temporal actions, such as firing timers and cron jobs, are
built on top of state and require a database to be clustered and
resilient in a distributed environment. The main constraint here is the
fact that the libraries and interfaces interacting with state are not
completely abstracted and decoupled from the service runtime. Typically
these libraries have to be configured with database details, and they
live within the service leaking the semantics and dependency concerns
into the application domain.</p>
<h3>Binding</h3>
<p>One of the main drivers for using integration middleware is the
ability to connect to various other systems using different protocols,
data formats, and message exchange patterns. And yet, the fact that
these connectors have to live together with the application, means the
dependencies have to be updated and patched together with the business
logic. It means the data type and data format have to be converted back
and forth within the service. It means the code has to be structured and
the flow designed according to the message exchange patterns. These are
a few examples of how even the abstracted endpoints influence the
service implementation in the traditional middleware.</p>
<h2>Cloud-native tendencies</h2>
<p>Traditional middleware is powerful. It has all the necessary
technical features, but it lacks the ability to change and scale
rapidly, which is demanded by modern digital business needs. This is
what the microservices architecture and its guiding principles for
designing modern distributed applications are addressing.</p>
<p>The ideas behind the microservices and their technical requirements
contributed to the popularization and widespread use of containers and
Kubernetes. That started a new way of innovation that is going to
influence the way we approach distributed applications for years to
come. Let’s see how Kubernetes and the related technologies affect each
group of requirements.</p>
<h3>Lifecycle</h3>
<p>Containers and Kubernetes evolved the way we package, distribute, and
deploy applications into a language-independent format. There is a lot
written about the <a href="http://k8spatterns.io/" target="_blank">Kubernetes Patterns</a> and the <a href="https://www.infoq.com/articles/kubernetes-effect" target="_blank">Kubernetes Effect</a>
on developers and I will keep it short here. Notice though, for
Kubernetes, the smallest primitive to manage is the container and it is
focused on delivering distributed primitives at the container level and
the process model. That means it does a great job on managing the
lifecycle aspects of the applications, health-check, recovery,
deployment, and scaling, but it doesn’t do such a good job improving on
the other aspects of distributed applications which live inside the
container, such as flexible networking, state management, and bindings.</p>
<p>You may point out that Kubernetes has stateful workloads, service
discovery, cron jobs, and other capabilities. That is true, but all of
these primitives are at the container level, and inside the container, a
developer still has to use a language-specific library to access the
more granular capabilities we listed at the beginning of this article.
That is what drives projects like Envoy, Linkerd, Consul, Knative, Dapr,
Camel-K, and others.</p>
<h3>Networking</h3>
<p>It turns out, the basic networking functionality around service
discovery provided by Kubernetes is a good foundation, but not enough
for modern applications. With the increasing number of microservices and
the faster pace of deployments, the needs for more advanced release
strategies, managing security, metrics, tracing, recovery from errors,
simulating errors, etc. without touching the service, have become
increasingly more appealing and created a new category of software on
its own, called service mesh.</p>
<p>What is more exciting here is the tendency of moving the
networking-related concerns from the service containing the business
logic, outside and into a separate runtime, whether that is sidecar or a
node level-agent. Today, service meshes can do advanced routing, help
to test, handle certain aspects of security, and even speak
application-specific protocols (for example Envoy supports Kafka,
MongoDB, Redis, MySQL, etc.). While service mesh, as a solution, might
not have a wide adoption yet, it touched a real pain point in
distributed systems, and I’m convinced it will find its shape and form
of existence.</p>
<p>In addition to the typical service mech, there are also other projects, such as <a href="https://skupper.io/" target="_blank">Skupper</a>,
that confirm the tendency of putting networking capabilities into an
external runtime agent. Skupper solves multi-cluster communication
challenges through a layer 7 virtual network and offers advanced routing
and connectivity capabilities. But rather than embedding Skupper into
the business service runtime, it runs an instance per Kubernetes
namespace which acts as a shared sidecar.</p>
<p>To sum up, container and Kubernetes made a major step forward in the
lifecycle management of the applications. Service mesh and related
technologies hit a real pain point and set the foundation for moving
more responsibilities outside of the application into proxies. Let’s see
what’s next.</p>
<h3>State</h3>
<p>We listed earlier the main integration primitives that rely on state.
Managing state is hard and should be delegated to specialized storage
software and managed services. That is not the topic here, but using
state, in language-neutral abstractions to aid integration use cases is.
Today, many efforts try to offer stateful primitives behind
language-neutral abstractions. Stateful workflow management is a
mandatory capability in cloud-based services, with examples, such as AWS
Step Functions, Azure Durable Functions, etc. In the container-based
deployments, <a href="https://github.com/cloudstateio/cloudstate" target="_blank">CloudState</a> and <a href="https://dapr.io/" target="_blank">Dapr</a>, both rely on the sidecar model to offer better decoupling of the stateful abstractions in distributed applications.</p>
<p>What I look forward to is also abstracting away all of the stateful
features listed above into a separate runtime. That would mean workflow
management, singletons, idempotency, transaction management, cron job
triggers, and stateful error handling all happening reliably in a
sidecar, (or a host-level agent), rather than living within the service.
The business logic doesn’t need to include such dependencies and
semantics in the application, and it can declaratively request such
behavior from the binding environment. For example, a sidecar can act as
a cron job trigger, idempotent consumer, and workflow manager, and the
custom business logic can be invoked as a callback or plugged in on
certain stages of the workflow, error handling, temporal invocations, or
unique idempotent requests, etc.</p>
<p>Another stateful use case is caching. Whether that is request caching
performed by the service mesh layer, or data caching with something
like Infinispan, Redis, Hazelcast, etc., there are <a href="https://dzone.com/articles/where-is-my-cache-architectural-patterns-for-cachi" target="_blank">examples</a> of pushing the caching capabilities out of the application’s runtime.</p>
<h3>Binding</h3>
<p>While we are on the topic of decoupling all distributed needs from
the application runtime, the tendency continues with bindings too.
Connectors, protocol conversions, message transformations, error
handling, and security mediation could all move out of the service
runtime. We are not there yet, but there are attempts in this direction
with projects such as <a href="https://cloud.google.com/knative/" target="_blank">Knative</a>
and Dapr. Moving all of these responsibilities out of the application
runtime will lead to a much smaller, business-logic-focused code. Such a
code would live in a runtime independent from distributed system needs
that can be consumed as prepackaged capabilities.</p>
<p>Another interesting approach is taken by the Apache <a href="https://camel.apache.org/camel-k/latest/index.html" target="_blank">Camel-K</a>
project. Rather than using an agent runtime to accompany the main
application, this project relies on an intelligent Kubernetes Operator
that builds application runtimes with additional platform capabilities
from Kubernetes and Knative. Here, the single agent is the operator that
is responsible for including the distributed system primitives required
by the application. The difference is that some of the distributed
primitives are added to the application runtime and some enabled in the
platform (which could include a sidecar as well).</p><h2>Future architecture trends</h2>
<p>Looking broadly, we can conclude that the commoditization of
distributed applications, by moving features to the platform level,
reaches new frontiers. In addition to the lifecycle, now we can observe
networking, state abstraction, declarative eventing, and endpoint
bindings also available off-the-shelf, and EIPs are next on this list.
Interestingly enough, the commoditization is using the out-of-process
model (sidecars) for feature extension rather than runtime libraries or
pure platform features (such as new Kubernetes features).</p>
<p>We are now approaching full circle by moving all of the traditional
middleware features (a.k.a ESBs) into other runtimes, and soon, all we
have to do in our service will be to write the business logic.</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfM5212BmkFEdr6BSiSSy-5n9rTvA7WbJ0yN6oiCBb0IEnOysJgdlVC3d1IzhyphenhypheneFn6PIi0TLEzJYOaxsj7evVMrTPr5IezALeSZVnWA6laRACGzYrqtXNLwWktKX5a7L80SsRCQ9OcCM7W/d/full-circle.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Traditional middleware and cloud-native platforms overview" border="0" data-original-height="1162" data-original-width="2386" height="156" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfM5212BmkFEdr6BSiSSy-5n9rTvA7WbJ0yN6oiCBb0IEnOysJgdlVC3d1IzhyphenhypheneFn6PIi0TLEzJYOaxsj7evVMrTPr5IezALeSZVnWA6laRACGzYrqtXNLwWktKX5a7L80SsRCQ9OcCM7W/w320-h156/full-circle.png" title="Traditional middleware and cloud-native platforms overview" width="320" /></a></div><p style="text-align: center;"><i><small>Traditional middleware and cloud-native platforms overview</small></i></p>
<p>Compared to the traditional ESB era, this architecture decouples the
business logic from the platform better, but not yet fully. Many
distributed primitives, such as the classic enterprise integration
patterns (EIPs): splitter, aggregator, filter, content-based router; and
streaming processing patterns: map, filter, fold, join, merge, sliding
windows; still have to be included in the business logic runtime, and
many others depend on multiple distinct and overlapping platform
add-ons.</p>
<p>If we stack up the various cloud-native projects innovating at the
different domains, we end up with a picture such as the following:</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjsxqPzIqane6dCtPD6p0Y6oQTZAUqCMduLQemcWtq_Vilewxr6SqjDh37KwyWZO_v1Bhs6sDThTKBetXB8yFdsItL6r5KcVR_LvOjgxcbHWwR_8pqwQROHHXllvQ1u84c0P5uzg6Scwm-L/d/multi-runtime.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Multi-runtime microservices" border="0" data-original-height="488" data-original-width="1936" height="81" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjsxqPzIqane6dCtPD6p0Y6oQTZAUqCMduLQemcWtq_Vilewxr6SqjDh37KwyWZO_v1Bhs6sDThTKBetXB8yFdsItL6r5KcVR_LvOjgxcbHWwR_8pqwQROHHXllvQ1u84c0P5uzg6Scwm-L/w320-h81/multi-runtime.png" title="Multi-runtime microservices" width="320" /></a></div><p style="text-align: center;"><i><small>Multi-runtime microservices</small></i></p>
<p>The diagram here is for illustration purposes only, it purposefully
picks representative projects and maps them to a category of distributed
primitives. In practice, you will not use all of these projects at the
same time as some of them are overlapping and not compatible workload
models. How to interpret this diagram?</p>
<ul><li>Kubernetes and containers made a huge leap in the lifecycle
management of polyglot applications and set the foundation for future
innovations.</li><li>Service mesh technologies improved on Kubernetes with advanced
networking capabilities and started tapping into the application
concerns.</li><li>While Knative is primarily focused on serverless workloads through
rapid scaling, it also addresses service orchestration and event-driven
binding needs.</li><li>Dapr builds on the ideas of Kubernetes, Knative, and Service Mesh
and dives into the application runtimes to tackle stateful workloads,
binding, and integration needs, acting as a modern distributed
middleware.</li></ul>
<p>This diagram is to help you visualize that, most likely in the
future, we will end up using multiple runtimes to implement the
distributed systems. Multiple runtimes, not because of multiple
microservices, but because every microservice will be composed of
multiple runtimes, most likely two — the custom business logic runtime
and the distributed primitives runtime.</p>
<h2>Introducing multi-runtime microservices</h2>
<p>Here is a brief description of the multi-runtime microservices architecture that is beginning to form.</p>
<p>Do you remember the movie Avatar and the Amplified Mobility Platform
(AMP) "mech suits" developed by scientists to go out into the wilderness
to explore Pandora? This multi-runtime architecture is similar to these
<a href="https://en.wikipedia.org/wiki/Mecha" target="_blank">Mecha</a>-suits that give
superpowers to their humanoid drivers. In the movie you have humans
putting on suits to gain strength and access destructive weapons. In
this software architecture, you have your business logic (referred to as
micrologic) forming the core of the application and the sidecar mecha
component that offers powerful out-of-the-box distributed primitives.
The micrologic combined with the mecha capabilities form a multi-runtime
microservice which is using out-of-process features for its distributed
system needs. And the best part is, Avatar 2 is coming out soon to help
promote this architecture. We can finally replace vintage sidecar
motorcycles with awesome mecha pictures at all software conferences ;-).
Let’s look at the details of this software architecture next.</p>
<p>This is a two-component model similar to a client-server
architecture, where every component is separate runtime. It differs from
a pure client-server architecture in that, here, both components are
located on the same host with reliable networking among them that is not
a concern. Both components are equal in importance, and they can
initiate actions in either direction and act as the client or the
server. One of the components is called Micrologic, and it holds the
very minimal business logic stripped out of almost all of the
distributed system concerns. The other accompanying component is the
Mecha, and it provides all of the distributed system features we have
been talking about through the article (except lifecycle which is a
platform feature).</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjW1UNcRnz4iVCjrKLYbyQSn7_WnclMZpqcpgp4qDjn82E2R2jV_oUxQsqyyFq-mLLCNZz1Tn3fAX54_F3cgoVnerT3cvONdUYGEuEvb6diOdtgWMWDq-inbBgNUsQanPSo1NBfrYw4cJv5/d/mecha.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Multi-runtime (out-of-process) microservices architecture" border="0" data-original-height="738" data-original-width="1262" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjW1UNcRnz4iVCjrKLYbyQSn7_WnclMZpqcpgp4qDjn82E2R2jV_oUxQsqyyFq-mLLCNZz1Tn3fAX54_F3cgoVnerT3cvONdUYGEuEvb6diOdtgWMWDq-inbBgNUsQanPSo1NBfrYw4cJv5/w320-h187/mecha.png" title="Multi-runtime (out-of-process) microservices architecture" width="320" /></a></div><p style="text-align: center;"><i><small>Multi-runtime (out-of-process) microservices architecture</small></i></p>
<p>There might be a one-to-one deployment of the Micrologic and the
Mecha (known as the sidecar model), or it can be one shared Mecha with a
few Micrologic runtimes. The first model is most appropriate on
environments, such as Kubernetes, and the latter on the edge
deployments.</p>
<h3>Micrologic runtime characteristics</h3>
<p>Let’s briefly explore some of the characteristics of the Micrologic runtime:</p>
<ul><li>The Micrologic component is not a microservice on its own. It
contains the business logic that a microservice would have, but that
logic can only work in combination with the Mecha component. On the
other hand, microservices are self-contained and do not have pieces of
the overall functionality or part of the processing flow spread into
other runtimes. The combination of a Micrologic and its Mecha
counterpart form a Microservice.</li><li>This is not a function or serverless architecture either. Serverless is <a href="https://www.infoq.com/articles/kubernetes-workloads-serverless-era" target="_blank">mostly known</a>
for its managed rapid scaling up and scale-to-zero capabilities. In the
serverless architecture, a function implements a single operation as
that is the unit of scalability. In that regard, a function is different
from a Micrologic which implements multiple operations, but the
implementation is not end-to-end. Most importantly, the implementation
of the operations is spread over the Mecha and the Micrologic runtimes.</li><li>This is a specialized form of client-server architecture, optimized
for the consumption of well-known distributed primitives without
coding. Also, if we assume that the Mecha plays the server role, then
each instance has to be specifically configured to work with the
individual client(s). It is not a generic server instance aiming to
support multiple clients at the same time as a typical client-server
architecture.</li><li>The user code in the Micrologic does not interact directly with
other systems and does not implement any distributed system primitives.
It interacts with the Mecha over de facto standards, such as HTTP/gRPC, <a href="https://github.com/cloudevents" target="_blank">CloudEvents</a>
spec, and the Mecha communicates with other systems using enriched
capabilities and guided by the configured steps and mechanisms.</li><li>While the Micrologic is responsible only for implementing the
business logic stripped out of distributed system concerns, it still has
to implement a few APIs at a minimum. It has to allow the Mecha and the
platform to interact with it over predefined APIs and protocols (for
example, by following the cloud-native <a href="https://www.redhat.com/en/resources/cloud-native-container-design-whitepaper" target="_blank">design principles</a> for Kubernetes deployments).</li></ul>
<h3>Mecha runtime characteristics</h3>
<p>Here are some of the Mecha runtime characteristics:</p>
<ul><li>The Mecha is a generic, highly configurable, reusable component offering distributed primitives as off-the-shelf capabilities.</li><li>Each instance of the Mecha has to be configured to work with one
Micrologic component (the sidecar model) or configured to be shared with
a few components.</li><li>The Mecha does not make any assumption about the Micrologic
runtime. It works with polyglot microservices or even monolithic systems
using open protocols and formats, such as HTTP/gRPC, JSON, Protobuf,
CloudEvents.</li><li>The Mecha is configured declaratively with simple text formats,
such as YAML, JSON, which dictates what features to be enabled and how
to bind them to the Micrologic endpoints. For specialized API
interactions, the Mechan can be additionally supplied with specs, such
as <a href="https://github.com/OAI/OpenAPI-Specification" target="_blank">OpenAPI</a>, <a href="https://github.com/asyncapi/asyncapi" target="_blank">AsyncAPI</a>, ANSI-SQL, etc. For stateful workflows, composed of multiple processing steps, a spec, such as <a href="https://states-language.net/spec.html" target="_blank">Amazon State Language</a>, can be used. For stateless integrations, Enterprise Integration Patterns (<a href="https://www.enterpriseintegrationpatterns.com/">EIPs</a>) can be used with an approach similar to the <a href="https://github.com/apache/camel-k-runtime/tree/master/camel-k-loader-yaml" target="_blank">Camel-K YAML DSL</a>.
The key point here is that all of these are simple, text-based,
declarative, polyglot definitions that the Mecha can fulfill without
coding. Notice that these are futuristic predictions, currently, there
are no Mechas for stateful orchestration or EIPs, but I expect existing
Mechas (Envoy, Dapr, Cloudstate, etc) to start adding such capabilities
soon. The Mecha is an application-level distributed primitives
abstraction layer.</li><li>Rather than depending on multiple agents for different purposes,
such as network proxy, cache proxy, binding proxy, there might be a
single Mecha providing all of these capabilities. The implementation of
some capabilities, such as storage, message persistence, caching, etc.,
would be plugged in and backed by other cloud or on-premise services.</li><li>Some distributed system concerns around lifecycle management make
sense to be provided by the managing platform, such as Kubernetes or
other cloud services, rather than the Mecha runtime using generic open
specifications such as the <a href="https://github.com/oam-dev/spec" target="_blank">Open App Model</a>.</li></ul>
<h3>What are the main benefits of this architecture?</h3>
<p>The benefits are loose coupling between the business logic and the
increasing list of distributed systems concerns. These two elements of
software systems have completely different dynamics. The business logic
is always unique, custom code, written in-house. It changes frequently,
depending on your organizational priorities and ability to execute. On
the other hand, the distributed primitives are the ones addressing the
concerns listed in this post, and they are well known. These are
developed by software vendors and consumed as libraries, containers or
services. This code changes depending on vendor priorities, release
cycles, security patches, open-source governing rules, etc. Both groups
have little visibility and control over each other.</p>
<div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgTbM-TyS5w_kScpJOYhrpREGYY2mAAzdLheUuO4zVbbP6g8_ay5d2qmjlptQl_vZbhmlvTr-Xz9SVsM73f2FwuSrG7laJlto9hDyqgdRADyrVYV2dlx6bEMNelLd5MYS8u_fTlI752NeKK/d/mecha-architecture.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Business logic and distributed system concerns coupling in application architectures" border="0" data-original-height="868" data-original-width="2456" height="113" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgTbM-TyS5w_kScpJOYhrpREGYY2mAAzdLheUuO4zVbbP6g8_ay5d2qmjlptQl_vZbhmlvTr-Xz9SVsM73f2FwuSrG7laJlto9hDyqgdRADyrVYV2dlx6bEMNelLd5MYS8u_fTlI752NeKK/w320-h113/mecha-architecture.png" title="Business logic and distributed system concerns coupling in application architectures" width="320" /></a></div><p style="text-align: center;"><i><small>Business logic and distributed system concerns coupling in application architectures</small></i>
</p><p>Microservices principles help decouple the different business domains
by bounded contexts where every microservice can evolve independently.
But microservices architecture does not address the difficulties coming
from coupling the business logic with middleware concerns. For certain
microservices that are light on integration use cases, this might not be
a big factor. But if your domain involves complex integrations (which
is increasingly becoming the case for everybody), following the
microservices principles will not help you protect from coupling with
the middleware. Even if the middleware is represented as libraries you
include in your microservices, the moment you start migrating and
changing these libraries, the coupling will become apparent. And the
more distributed primitives you need, the more coupled into the
integration platform you become. Consuming middleware as a separate
runtime/process over a predefined API rather than a library helps loose
coupling and enables the independent evolution of each component.</p>
<p>This is also a better way to distribute and maintain complex
middleware software for vendors. As long as the interactions with the
middleware are over inter-process communication involving open APIs and
standards, the software vendors are free to release patches and upgrades
at their pace. And the consumers are free to use their preferred
language, libraries, runtimes, deployments methods, and processes.</p>
<h3>What are the main drawbacks of this architecture?</h3>
<p>Inter-process communication. The fact that the business logic and the
middleware mechanics (you see where the name comes from) of the
distributed systems are in different runtimes and that requires an HTTP
or gRPC call rather than an in-process method call. Notice though, this
is not a network call that is supposed to go to a different machine or
datacenter. The Micrologic runtime and the Mecha are supposed to be
colocated on the same host with low latency and minimal likelihood of
network issues.</p>
<p>Complexity. The next question is, whether it is worth the complexity
of development, and maintaining such systems for the gained benefits. I
think the answer will be increasingly inclining towards yes. The
requirements of distributed systems and the pace of release cycles are
increasing. And this architecture optimizes for that. I wrote some time
ago that the developers of the future will have to be with <a href="https://www.infoq.com/articles/microservices-post-kubernetes" target="_blank">hybrid development skills</a>.
This architecture confirms and enforces further this trend. Part of the
application will be written in a higher-level programming language, and
part of the functionality will be provided by off-the-shelf components
that have to be configured declaratively. Both parts are inter-connected
not at compile-time, or through in-process dependency injection at
startup time, but at deployment time, through inter-process
communications. This model enables a higher rate of software reuse
combined with a faster pace of change.</p>
<h3>What comes after microservices are not functions</h3>
<p>Microservices architecture has a clear goal. It optimizes for change.
By splitting applications into business domains, this architecture
offers the optimal service boundary for software evolution and
maintainability through services that are decoupled, managed by
independent teams, and released at an independent pace.</p>
<p>If we look at the programming model of the serverless architecture,
it is primarily based on functions. Functions are optimized for
scalability. With functions, we split every operation into an
independent component so that it can scale rapidly, independently, and
on-demand. In this model, the deployment granularity is a function. And
the function is chosen because it is the code construct that has an
input whose rate correlates directly to the scaling behavior. This is an
architecture that is optimized for extreme scalability, rather than
long term maintainability of complex systems.</p>
<p>What about the other aspect of Serverless, which comes from the
popularity of AWS Lambda and its fully managed operational nature? In
this regard, "AWS Serverless" optimizes for speed of provisioning for
the expense of lack of control and lock-in. But the fully managed aspect
is not application architecture, it is a software consumption model. It
is an orthogonal functionally, similar to consuming a SaaS-based
platform which in an ideal world should be available for any kind of
architecture whether that is monolithic, microservices, mecha or
functions. In many ways, AWS Lambda resembles a fully managed Mecha
architecture with one big difference: Mecha does not enforce the
function model, instead it allows a more cohesive code constructs around
the business domain, split from all middleware concerns.</p>
<p style="text-align: center;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLBfbhcz81ag5Eue7R5fOWEanZqWTV3170pU4PoRY0pdEurbn8xhqIRnQuAgioZ6JIBZTSQSBRaDyWEdz1JpD0sLGC-ySSUVgs_aLvSTSj4AT6MSbf4Oipce9pWfbsJAtwHFqMkmu85QDo/d/tradeoffs.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Architecture optimizations" border="0" data-original-height="884" data-original-width="1574" height="180" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjLBfbhcz81ag5Eue7R5fOWEanZqWTV3170pU4PoRY0pdEurbn8xhqIRnQuAgioZ6JIBZTSQSBRaDyWEdz1JpD0sLGC-ySSUVgs_aLvSTSj4AT6MSbf4Oipce9pWfbsJAtwHFqMkmu85QDo/w320-h180/tradeoffs.png" title="Architecture optimizations" width="320" /></a></div><i><small>Application architecture optimizations</small></i><p></p>
<p>Mecha architecture, on the other hand, optimizes microservices for
middleware independence. While microservices are independent of each
other, they are heavily dependent on embedded distributed primitives.
The Mecha architecture splits these two concerns into separate runtimes
allowing their independent release by independent teams. This decoupling
improves day-2 operations (such as patching and upgrades) and the long
term maintainability of the cohesive units of business logic. In this
regard, Mecha architecture is a natural progression of the microservices
architecture by splitting software based on the boundaries that cause
most friction. That optimization provides more benefits in the form of
software reuse and evolution than the function model, which optimizes
for extremely scalability at the expense of over-distribution of code.</p>
<h2>Conclusion</h2>
<p>Distributed applications have many requirements. Creating effective
distributed systems requires multiple technologies and a good approach
to integration. While traditional monolithic middleware provided all of
the necessary technical features required by distributed systems, it
lacked the ability to change, adapt, and scale rapidly, which was
required by the business. This is why the ideas behind
microservices-based architectures contributed to the rapid
popularization of containers and Kubernetes; with the latest
developments in the cloud-native space, we are now coming full circle by
moving all of the traditional middleware features into the platform and
off-the-shelf auxiliary runtimes.</p>
<p>This commoditization of application features is primarily using the
out-of-process model for feature extension, rather than runtime
libraries or pure platform features. That means that in the future it is
highly likely that we will use multiple runtimes to implement
distributed systems. Multiple runtimes, not because of multiple
microservices, but because every microservice will be composed of
multiple runtimes; a runtime for the custom micro business logic, and an
off-the-shelf, configurable runtime for distributed primitives.</p><p><i>This article was originally published on InfoQ <a href="https://www.infoq.com/articles/multi-runtime-microservice-architecture" target="_blank">here</a>.</i><br /></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-92181954478763887372020-05-25T00:13:00.003+01:002020-05-25T00:32:41.614+01:00Top 10 must-know Kubernetes design patterns<p class="selectionShareable">Here are the must-know top 10 design patterns for beginners synthesized from <a href="http://k8spatterns.io/" rel="nofollow" target="_blank">the Kubernetes Patterns book</a>.
Getting familiar with these patterns will help you understand
foundational Kubernetes concepts, which in turn will help you in
discussions and when designing Kubernetes-based applications. There are many important concepts in Kubernetes, but these are the most important ones to start with:</p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgb49FZtrT_epTh41LUwo-Nm_4KuarfYgmcXN_H_oRsMnO5JdyXTtpXtMmbh9T0p6d-4q5mzFEL2GEadh8t-CSOyWaFr00x7c6LGijYVC-2OfXEUDudvbIz6z-kciIWffXEqP5mWoa1Q-CB/d/top_10_kubernetes_patterns.png" style="margin-left: 1em; margin-right: 1em;"><img alt="Top 10 must-know Kubernetes design patterns" border="0" data-original-height="3352" data-original-width="7299" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgb49FZtrT_epTh41LUwo-Nm_4KuarfYgmcXN_H_oRsMnO5JdyXTtpXtMmbh9T0p6d-4q5mzFEL2GEadh8t-CSOyWaFr00x7c6LGijYVC-2OfXEUDudvbIz6z-kciIWffXEqP5mWoa1Q-CB/d/top_10_kubernetes_patterns.png" title="Top 10 must-know Kubernetes design patterns" width="475" /></a></div><p class="selectionShareable" style="text-align: center;"><i>Top 10 most common Kubernetes Patterns</i></p><p class="selectionShareable">To help you understand, the patterns are organized into a few categories below, inspired by the Gang of Four’s design patterns.</p>
<h1><span style="font-weight: normal;">Foundational patterns</span></h1>
<p class="selectionShareable">These patterns represent the principles
and best practices that containerized applications must comply with in
order to become good cloud-native citizens. Regardless of the
application’s nature, you should aim to follow these guidelines.
Adhering to these principles will help ensure that your applications are
suitable for automation on Kubernetes.</p><h3>Health Probe pattern</h3>
<p class="selectionShareable"><i>Health Probe</i> dictates that every
container should implement specific APIs to help the platform observe
and manage the application in the healthiest way possible. To be fully
automatable, a cloud-native application must be highly observable by
allowing its state to be inferred so that Kubernetes can detect whether
the application is up and ready to serve requests. These observations
influence the life-cycle management of Pods and the way traffic is
routed to the application.</p>
<h3>Predictable Demands pattern</h3>
<p class="selectionShareable"><i>Predictable Demands</i> explains why
every container should declare its resource profile and stay confined to
the indicated resource requirements. The foundation of successful
application deployment, management, and coexistence on a shared cloud
environment is dependent on identifying and declaring the application’s
resource requirements and runtime dependencies. This pattern describes
how you should declare application requirements, whether they are hard
runtime dependencies or resource requirements. Declaring your
requirements is essential for Kubernetes to find the right place for
your application within the cluster.</p>
<h3>Automated Placement patterns</h3>
<p class="selectionShareable"><i>Automated Placement</i> explains how
to influence workload distribution in a multi-node cluster. Placement is
the core function of the Kubernetes scheduler for assigning new Pods to
nodes satisfying container resource requests and honoring scheduling
policies. This pattern describes the principles of Kubernetes’
scheduling algorithm and the way to influence the placement decisions
from the outside.</p>
<h1><span style="font-weight: normal;">Structural patterns</span></h1>
<p class="selectionShareable">Having good cloud-native containers is the
first step, but not enough. Reusing containers and combining them into
Pods to achieve the desired outcome is the next step. The patterns in
this category are focused on structuring and organizing containers in a
Pod to satisfy different use cases. The forces that affect containers in
Pods result in these patterns.</p>
<h3>Init Container pattern</h3>
<p class="selectionShareable"><i>Init Container</i> introduces a
separate life cycle for initialization-related tasks and the main
application containers. Init Containers enable separation of concerns by
providing a separate life cycle for initialization-related tasks
distinct from the main application containers. This pattern introduces a
fundamental Kubernetes concept that is used in many other patterns when
initialization logic is required.</p>
<h3>Sidecar patterns</h3>
<p class="selectionShareable"><i>Sidecar</i> describes how to extend
and enhance the functionality of a pre-existing container without
changing it. This pattern is one of the fundamental container patterns
that allows single-purpose containers to cooperate closely together.</p>
<h1><span style="font-weight: normal;">Behavioral patterns</span></h1>
<p class="selectionShareable">These patterns describe the life-cycle
guarantees of the Pods ensured by the managing platform. Depending on
the type of workload, a Pod might run until completion as a batch job or
be scheduled to run periodically. It might run as a daemon service or
singleton. Picking the right life-cycle management primitive will help
you run a Pod with the desired guarantees.</p>
<h3>Batch Job patterns</h3>
<p class="selectionShareable"><i>Batch Job</i> describes how to run an
isolated, atomic unit of work until completion. This pattern is suited
for managing isolated atomic units of work in a distributed environment.</p>
<h3>Stateful Service patterns</h3>
<p class="selectionShareable"><i>Stateful Service</i> describes how to
create and manage distributed stateful applications with Kubernetes.
Such applications require features such as persistent identity,
networking, storage, and ordinality. The StatefulSet primitive provides
these building blocks with strong guarantees ideal for the management of
stateful applications.</p>
<h3>Service Discovery pattern</h3>
<p class="selectionShareable"><i>Service Discovery</i> explains how
clients can access and discover the instances that are providing
application services. For this purpose, Kubernetes provides multiple
mechanisms, depending on whether the service consumers and producers are
located on or off the cluster.</p>
<h1><span style="font-weight: normal;">Higher-level patterns</span></h1>
<p class="selectionShareable">The patterns in this category are more
complex and represent higher-level application management patterns. Some
of the patterns here (such as Controller) are timeless, and Kubernetes
itself is built on top of them.</p>
<h3>Controller pattern</h3>
<p class="selectionShareable"><i>Controller</i> is a pattern that
actively monitors and maintains a set of Kubernetes resources in a
desired state. The heart of Kubernetes itself consists of a fleet of
controllers that regularly watch and reconcile the current state of
applications with the declared target state. This pattern describes how
to leverage this core concept for extending the platform for our own
applications.</p>
<h3>Operator pattern</h3>
<p class="selectionShareable">An <i>Operator</i> is a Controller that
uses a CustomResourceDefinitions to encapsulate operational knowledge
for a specific application in an algorithmic and automated form. The
Operator pattern allows us to extend the Controller pattern for more
flexibility and greater expressiveness. There are an increasing number
of <a href="http://operatorhub.io/" rel="nofollow" target="_blank">Operators</a> for Kubernetes, and this pattern is turning into the major form of operating complex distributed systems.</p>
<h1><span style="font-weight: normal;">Summary</span></h1>
<p class="selectionShareable">Today, Kubernetes is the most popular
container orchestration platform. It is jointly developed and supported
by all major software companies and offered as a service by all of the
major cloud providers. Kubernetes supports both Linux and Windows
systems, plus all major programming languages. This platform can also
orchestrate and automate stateless and stateful applications, batch
jobs, periodic tasks, and serverless workloads. The patterns described
here are the most commonly used ones from a broader set of patterns that
come with Kubernetes as shown below.</p><p class="selectionShareable"><br /></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzz_DbnsYO9Ix3kG2jvx63aeAk6UKwd1oJnT9UjCpnp1T560BNDNARKQNNiqbTtZhMIidALhCFGIC3017ii3b4kQTr6yo3FdNPMst6TKLdmDOF31-Y2V2L3OfIOOZ53Bj1tKsMC5hcQgr6/d/KubernetePatternsLevels-SingleColor+-+Copy+of+Full.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="4455" data-original-width="6913" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjzz_DbnsYO9Ix3kG2jvx63aeAk6UKwd1oJnT9UjCpnp1T560BNDNARKQNNiqbTtZhMIidALhCFGIC3017ii3b4kQTr6yo3FdNPMst6TKLdmDOF31-Y2V2L3OfIOOZ53Bj1tKsMC5hcQgr6/d/KubernetePatternsLevels-SingleColor+-+Copy+of+Full.png" width="475" /></a></div><p class="selectionShareable" style="text-align: center;"><i>Kubernetes patters categorized</i><br /></p><p class="selectionShareable">Kubernetes is the new application
portability layer and the common denominator among everybody on the
cloud. If you are a software developer or architect, the odds are that
Kubernetes will become part of your life in one form or another.
Learning about the Kubernetes patterns described here will change the
way you think about this platform. I believe that Kubernetes and the
concepts originating from it will become as fundamental as
object-oriented programming concepts. The patterns here are an attempt to create
the Gang of Four design patterns, but for container orchestration.
Reading this article must not be the end, but the beginning of your
Kubernetes journey. Happy <code class="notranslate">kubectl</code>-ing!</p><p class="selectionShareable"><i> This post was originally published on Red Hat Developers. To read the original post, check <a href="https://developers.redhat.com/blog/2020/05/11/top-10-must-know-kubernetes-design-patterns/" target="_blank">here</a>.</i><br /></p>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-75762456818779501762019-05-23T11:33:00.000+01:002019-05-23T11:33:07.472+01:00Camel Rebirth with Subsecond Experiences<h4>
<span style="font-weight: normal;"><i>This
post was originally published <a href="https://developers.redhat.com/blog/2019/05/20/subsecond-deployment-and-startup-of-apache-camel-applications/" target="_blank">here</a>. </i><i>Check out my new <a href="https://k8spatterns.io/" target="_blank">Kubernetes Patterns</a> book and follow me <a href="http://twitter.com/bibryam" target="_blank">@bibryam</a> for future blog posts.</i></span></h4>
<h2>
A look at the past decade</h2>
The integration space is in constant change. There are many open source projects and closed source technologies that have not passed the test of time and disappeared from the middleware stacks for good. After a decade, Apache Camel is still here and becoming even stronger for the next decade of integration.<br />
<h3>
Gang of Four for integration</h3>
Apache Camel started life as an implementation of the Enterprise Integration Patterns (<a href="https://www.enterpriseintegrationpatterns.com/">EIP</a>) book. Today, these patterns are the equivalent of the object-oriented Gang of Four Design Patterns but for messaging and integration domain. They are agnostic of programing language, platform, architecture, and provide a universal language, notation and description of the forces around fundamental messaging primitives.<br /><br />But Camel community did not stop with these patterns, and kept evolving and adding newer patterns from SOA, Microservices, Cloud Native and Serverless paradigms. As a result, Camel turned into a generic pattern based integration framework suitable for multiple architectures.<br /><h3>
Universal library consumption model</h3>
While the patterns gave the initial spark to Camel, its endpoints quickly became popular and turned into a universal protocol for using Java based integration libraries as connectors. Today, there are<a href="http://camel.apache.org/components.html"> hundreds</a> of Java libraries that can be used as Camel connectors using the Camel endpoint notation. It takes a while to realize that Camel can also be used without the EIPs and the routing engine. It can act as a connector framework where all libraries are consumed as universal URIs without a need for understanding the library specific factories and configurations that vary widely across Java libraries.<br /><h3>
The right level of abstraction</h3>
When you talk to developers who have not used Camel in anger before, they will tell you that it is possible to do integration without Camel. And they are right about the 80% of the easy use cases, but not for the remaining 20% of the cases that can turn a project into a multi-year frustrating experience. What they do not realize yet is that without Camel, there are multiple manual ways of doing the same thing, but none are validated by the experience of hundreds of open source developers. And if you fast-forward a few years, 10s of different systems to integrate with, and 10s of developers coming and going, 100s of microservices, an integration project can quickly turn into a bespoke home-grown framework that nobody wants to work on. <b>Doing integration is easy, but doing good integration that will evolve and grow for many years, by many teams, is the hardest part</b>. Camel addresses this challenge with universal patterns and connectors, combined with integration focused<a href="https://developers.redhat.com/blog/2017/12/21/camel-dsl-choose/"> DSLs</a>, that have passed the test of time. Next time, if you think you don't need Camel, your are either thinking for short term gains, or you are not realizing yet how complex integration can become.<br /><h3>
Embracing change</h3>
It takes only a couple of painful experiences in large integration projects to start appreciating Camel. But Camel is not great only because it was started by and built on the works of great minds, it is great because it evolves thanks to the world's knowledge, shared through the open source model and its networking effects. Camel started as the routing layer in ESBs during SOA period with a lot of focus on XML, WS, JBI, OSGI etc, but then it quickly adapted for REST, Swagger, Circuit breakers, SAGAs, and Spring Boot in the Microservices era. And the world has not stopped there, with Docker and Kubernetes, and now Serverless architecture, Camel keeps embracing the change. That is because <b>Camel is written for integrating changing environments, and Camel itself grows and shines on change. Camel is a change enabling library for integration.</b><br /><h3>
Behind the scene engine</h3>
One of the Camel secret sauces is that it is a non-intrusive, unopinionated, small (5MB and getting smaller) integration library without any affinity where and how you consume it. If you notice, this is the opposite of an ESB as commonly Camel is confused with because of its extensive capabilities. Over the years, Camel has been used as the internal engine powering projects such as:<br /><ul>
<li>Apache ServiceMix ESB </li>
<li>Apache ActiveMQ</li>
<li>Talend ESB</li>
<li>JBoss Switchyard</li>
<li>JBoss Fuse Service Works</li>
<li>Red Hat Fuse</li>
<li><a href="https://syndesis.io/">Fuse Online/Syndesis</a> </li>
<li>And many other frameworks mentioned<a href="http://camel.apache.org/user-stories.html"> here</a>.</li>
</ul>
You can use Camel standalone, embed it with Apache Tomcat, with Spring Boot starters, JBoss WildFly, Apache Karaf, Vert.x, <a href="https://quarkus.io/extensions/">Quarkus</a>, you name it. Camel doesn't care and it will bring superpowers to your project every time.<br /><h2>
Looking to the future</h2>
Nobody can tell how the ideal integration stack will look like in a decade, nor can I. But I will tell you about <b>two novelties coming into Apache Camel now</b> (and to<a href="https://www.redhat.com/en/technologies/jboss-middleware/fuse"> Red Hat Fuse</a> later), and why they will have a noticeable positive effect for the developers and the business. <b>I call these changes as subsecond deployment and subsecond startup of Camel applications.</b><br /><h3>
Subsecond deployments to Kubernetes</h3>
There was a time when cloud-native meant different technologies. Today, after a few years of natural selection and consolidation in the industry, cloud-native means applications created specifically for Kubernetes and its ecosystem of projects around<a href="https://www.cncf.io/"> CNCF</a>. Even with this definition, there are many shades of cloud-native, from running a monolithic non-scalable application in a container, to triggering a function that is fully embracing the cloud-native development and management practices. The Camel community has realized that Kubernetes is the next generation <a href="https://developers.redhat.com/blog/2018/06/28/why-kubernetes-is-the-new-application-server/">application runtime</a>, and it is steadily working on making Camel a Kubernetes native integration engine. <b>The same way Camel is a first-class citizen in OSGI containers, JEE application servers, other fat-jar runtimes, Camel is becoming a first-class citizen on Kubernetes, integrating deeply and benefiting from the resiliency and scalability offered by the platform. </b><br /><br />Here are a few of the many enhancement efforts going on in this direction:<br /><ul>
<li><b>Deeper Kubernetes integration</b> - Kubernetes API connector, full health-check API implementation for Camel subsystems, service discovery through a new ServiceCall EIP, configuration management using ConfigMaps. Then a set of application patterns with special handling on Kubernetes such as: clustered <a href="https://www.nicolaferraro.me/2017/10/17/creating-clustered-singleton-services-on-kubernetes/">singleton routes</a>, <a href="https://access.redhat.com/documentation/en-us/red_hat_fuse/7.2/html/fuse_on_openshift_guide/camel-spring-boot_xa">scalable XA transactions</a> (because sometimes, you have to), SAGA pattern <a href="https://www.nicolaferraro.me/2018/04/25/saga-pattern-in-apache-camel/">implementation</a>, etc.</li>
<li><b>Cloud-native integrations</b> - support for other cloud-native projects such as exposing<a href="https://brunonetid.github.io/2017/11/27/camel-prometheus-openshift.html"> Camel metrics for Prometheus</a>, <a href="https://medium.com/jaegertracing/using-jaeger-to-trace-an-apache-camel-application-2b8118efbb4d">tracing Camel routes</a> through Jaeger, JSON formatted logging for log aggregation, etc.</li>
<li><b>Immutable runtimes</b> - whether you use the minimalist immutable Karaf packaging, or Spring Boot, Camel is a first class citizen ready to put in a container image. There are also Spring Boot starter implementations for all Camel connectors, integration with routes, properties, converters, and whatnot.</li>
<li><b>Camel 3</b> -<a href="https://medium.com/@davsclaus/work-on-apache-camel-3-has-finally-started-e6a4276a95d5"> is a fact</a> and actively progressing. A big theme for Camel 3 is to make it more modular, smaller, with faster startup time, reactive, non-blocking and triple awesome. This is the groundwork needed to restructure Camel for the future cloud workloads.</li>
<li><b>Knative integration</b> -<a href="https://cloud.google.com/knative/"> Knative</a> is an effort started by Google in order to bring some order and standardization in the serverless world dominated by Amazon Lambda. And Camel is among the projects that <a href="https://www.nicolaferraro.me/2018/12/10/camel-k-on-knative/">integrate</a> with Knative primitives from early days and enhances the Knative ecosystem with hundreds of connectors acting as generic <a href="https://knative.dev/development/eventing/samples/apache-camel-source/">event sources</a>. <b> </b></li>
<li><b>And here is a real game-changer initiative:<a href="https://www.nicolaferraro.me/2018/10/15/introducing-camel-k/"> Camel-K</a></b> (a.k.a deep Kubernetes integration for Camel) - we have seen that Camel is typically embedded into the latest modern runtime where it acts as the developer-friendly integration engine behind the scene. The same way Camel used to benefit from JEE services in the past for hot-deployment, configuration management, transaction management, etc, today Camel-K allows Camel runtime to benefit from Kubernetes features for high-availability, resiliency, self-healing, auto-scaling, and basically distributed application management in general. The way Camel-K achieves this is through a CLI and an <a href="https://coreos.com/operators/">Operator</a> where the latter is able to understand the Camel applications, its build time dependencies, runtime needs, and make intelligent choices from the underlying Kubernetes platform and its additional capabilities (from Knative, Istio, Openshift and others in the future). It can automate everything on the cluster such as picking the best suited container image, runtime management model and update them when needed. The CLI can automate the tasks that are on the developer machine such as observing the code changes and streaming those to the Kubernetes cluster, and printing the logs from the running Pods. </li>
</ul>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6W8arF6477YScD_mtUT2OyxwUnaKMiVcrxaM73JBdjsbNY8z1qd6mX06Rway68GApdG-eDc3lamaEikdvHe_YiOj87PjXsbOZ44ktHbP4Ydr02HalNJhacq7tVCLMv6TTkNt9XeGB-6Yd/s1600/image3-768x362.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="362" data-original-width="768" height="187" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEj6W8arF6477YScD_mtUT2OyxwUnaKMiVcrxaM73JBdjsbNY8z1qd6mX06Rway68GApdG-eDc3lamaEikdvHe_YiOj87PjXsbOZ44ktHbP4Ydr02HalNJhacq7tVCLMv6TTkNt9XeGB-6Yd/s400/image3-768x362.png" width="400" /></a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-left: 36pt; margin-top: 12pt; text-align: center;">
<i>Camel route auto-deployment to Kubernetes with Camel-K</i></div>
Camel-K operator understands two domains: Kubernetes and Camel. By combining knowledge of both areas, it can automate tasks that usually require a human operator. <br />The really powerful part is that, with Camel-K, a Camel route can be built and deployed from source code to a running Camel route on Kubernetes in less than a second! <div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjEhTqE-6QFNhXQD9E-hZT3Xdvyj47Sv5LlkcO4IdMznnB27yvgo2mxV-Of_og9SGOoMUST3N_rXPfx8oobVI7kgmMU3eUusFuLbJEwIecmm1fP59FxveYCES7Fp25niTPr4-jLHHUtMe7A/s1600/image2-768x475.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="475" data-original-width="768" height="246" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjEhTqE-6QFNhXQD9E-hZT3Xdvyj47Sv5LlkcO4IdMznnB27yvgo2mxV-Of_og9SGOoMUST3N_rXPfx8oobVI7kgmMU3eUusFuLbJEwIecmm1fP59FxveYCES7Fp25niTPr4-jLHHUtMe7A/s400/image2-768x475.png" width="400" /></a></div>
<div style="text-align: center;">
<i>Time to deploy and run a Camel integration(in seconds)</i></div>
<div style="text-align: center;">
<i> </i></div>
Forget about making a coffee, or even having a sip while building and deploying a Camel route with Camel K. As soon as you make changes to your source code and open a browser, the Camel route will be running in Kubernetes. This has a noticeable impact on the way the developers write Camel code, compile, drink coffee, deploy and test. Apart from changing the development practices and habits, this toolset will significantly reduce the development cycles which would be noticed by the business stakeholders too. For live demonstration, check out the following awesome<a href="https://www.youtube.com/watch?v=51x9BewGCYA"> video</a> from Fuse engineers working on Camel-K project.<br /><h3>
Subsecond startups of Camel applications</h3>
A typical enterprise integration landscape is composed of stateless services, stateful services, clustered applications, batch jobs, file transfers, messaging, real time integrations, and may be even<a href="https://techcrunch.com/2019/02/05/blockchain-as-integration-evolution/"> blockchain</a> based business processes. To that mix, today, we also have to add serverless workloads as well, which is best suited for event driven workloads. Historically, the heavy and slow Java runtime had significant drawbacks compared Go, Javascript and other light runtimes in the serverless space. That is one of the main motivations for Oracle to create <a href="https://github.com/oracle/graal/tree/master/substratevm">GraalVM/Substrate VM</a>. Substrate VM is a framework that enables ahead-of-time (AOT) compilation of Java applications into native executables that are light and fast. Then a recent effort by Red Hat led to the <a href="http://in.relation.to/2019/03/08/why-quarkus/">creation of Quarkus</a> project which improves further the resource consumptions, startup and response times of Java applications mind-blowingly (a term not-used lightly here).<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5Icb6TyFetJ6Jhbh1lFIQYajBN1RgJpCJokdrzCJaOlIHjjTPTp4irgX2CVeZ60KVeL3PT8TRtvo0Ecp_791V5ePwX-hca_as0fAvjwEtWf8o9qOhCD_jnjaYArWnhYI91lC6ZsFhL_EL/s1600/image1-768x248.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="248" data-original-width="768" height="128" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi5Icb6TyFetJ6Jhbh1lFIQYajBN1RgJpCJokdrzCJaOlIHjjTPTp4irgX2CVeZ60KVeL3PT8TRtvo0Ecp_791V5ePwX-hca_as0fAvjwEtWf8o9qOhCD_jnjaYArWnhYI91lC6ZsFhL_EL/s400/image1-768x248.png" width="400" /></a></div>
<div style="text-align: center;">
<i>Supersonic Subatomic Java with Quarkus</i></div>
<div style="text-align: center;">
<i> </i></div>
As you can see from the metrics above, <b>Quarkus combined with SubstrateVM is not a gradual evolution. It is a mutation, and a revolutionary jump that suddenly changes the perspectives on the Java’s footprint and speed in the cloud native workloads. It makes Java friendly for serverless architecture. Considering the huge Java ecosystem composed of developers and libraries, it even turns Java into the best suited language for Serverless applications. And Camel <a href="https://quarkus.io/extensions/">combined</a> with Quarkus, the best placed integration library in this space.</b><br /><h2>
Summary</h2>
With the explosion of Microservices architecture, the number of services has increased tenfold which gave birth to Kubernetes-enabled architectures. These architectures are highly dynamic in nature, and most powerful with light and fast runtimes that enable instant scale up and higher deployment density.<br /><br />Camel is the framework to fill the space between disparate systems and services. It offers data consistency guarantees, reliable communication, failover, failure detection and recovery, and so on, in a way that makes developers productive. Now, <b>imagine the same powerful Apache Camel based integration in 2020 that: deploys to Kubernetes in 20ms; starts up in 20ms; requires 20MB memory, consumes 20MB on the disk... That is regardless whether it runs as a stateless application in a container, or as a function on KNative. That is 100x faster deployments to Kubernetes, 100x faster startup time, 10x less resource consumption allowing real-time scale-up, scale-down, and scale to zero. </b>That is a change that the developers will notice during development, users will notice when using the system, and the business will notice on the infrastructure cost and overall delivery velocity. That is the real cloud-native era we have been waiting for.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3109111393630873407.post-28577243316761202842019-05-13T10:45:00.000+01:002019-05-13T10:45:13.520+01:00 Getting started with blockchain for Java developers<span style="font-family: inherit;"><i>Follow me on<a class="markup--anchor markup--p-anchor" data-href="http://twitter.com/bibryam" href="http://twitter.com/bibryam" rel="noopener noopener" target="_blank"> twitter</a> for other posts in this space. This post was originally published on <a href="https://opensource.com/article/19/4/blockchain-java-developers" target="_blank">Opensource.com</a> under CC BY-SA 4.0. </i></span><i>If you prefer, read the same post on <a href="https://hackernoon.com/getting-started-with-blockchain-for-java-developers-3e995a57cca2" target="_blank">Hacker Noon</a>.</i><br />
<br />
Top technology prognosticators have listed <a href="https://opensource.com/article/18/6/blockchain-guide-next-generation">blockchain</a> among the top 10 emerging technologies with the potential to revolutionize our world in the next decade, which makes it well worth investing your time now to learn. If you are a developer with a Java background who wants to get up to speed on blockchain technology, this article will give you the basic information you need to get started.<br />
Blockchain is a huge space and at first it can be overwhelming to navigate. Blockchain is different from other software technologies as it has a parallel non-technical universe with a focus on speculations, scams, price volatility, trading, <a href="https://en.wikipedia.org/wiki/Initial_coin_offering" target="_blank">ICOs</a>, cryptocurrencies, Bitcoin maximalism, game theory, human greed, etc. Here we will ignore that side of blockchain completely and look at the technical aspects only.<br />
<h3>
The theoretical minimum for blockchain</h3>
Regardless of the programing language, implementation details, there is a theoretical minimum about blockchain that you should be familiar with. Without this understanding, it is impossible to grasp the foundations, and build on. Based on my experience, the very minimum two technologies that must be understood are Bitcoin and Ethereum. It happens that both projects introduced something new in this space, both currently have the highest <a href="https://en.wikipedia.org/wiki/Market_capitalization" target="_blank">market cap</a>, and highest developer community, etc. Most other blockchain projects, whether they are public or private, permissionless or permissioned, are forks of Bitcoin or Ethereum, or build and improve their shortcomings in some ways by making certain trade-offs. Understanding these two projects is like taking networking, database theory, messaging, data structures and two programing language classes in the university. Understanding how these two blockchain technologies will open your mind for the blockchain universe.<br />
<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrhCJQiazmTZWXpGQzCy94CGvjN1eZ843_ovX84hzkHx0-pRjuNTzS53_gI0-BMBO9sJ2B9Er7C0OuJKD9d8DCQKe1Jewr7Tldvwf2fqTTmQUl7lfol8IUJd2egNm-F9OanLFrgOx1oIuX/s1600/Copy+of+Antifragile+extended+-+New+Page.png" style="margin-left: auto; margin-right: auto;"><img border="0" height="215" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhrhCJQiazmTZWXpGQzCy94CGvjN1eZ843_ovX84hzkHx0-pRjuNTzS53_gI0-BMBO9sJ2B9Er7C0OuJKD9d8DCQKe1Jewr7Tldvwf2fqTTmQUl7lfol8IUJd2egNm-F9OanLFrgOx1oIuX/s320/Copy+of+Antifragile+extended+-+New+Page.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Tech books to start with blockchain</td></tr>
</tbody></table>
The two books I recommend for this purpose happen to be from the same author - <a href="https://twitter.com/aantonop" target="_blank">Andreas M. Antonopoulos</a>:<br />
<ul>
<li><a href="https://www.amazon.co.uk/Mastering-Bitcoin-Unlocking-Digital-Cryptocurrencies/dp/1449374042" target="_blank"><b>Mastering Bitcoin</b></a> is the most in depth, technical but still understandable and easy to read book I could find about Bitcoin. The tens of other books I checked on this topic were either mostly philosophical and non-technical.</li>
<li>On the Ethereum side, there are many more technical books, but I liked the level of detail in <a href="https://www.amazon.co.uk/Mastering-Ethereum-Andreas-Antonopoulos/dp/1491971940" target="_blank"><b>Mastering Ethereum</b></a> most.</li>
<li><b><a href="https://www.manning.com/books/building-ethereum-dapps" target="_blank">Building Ethereum Dapps</a></b> is another book I found very thorough and covering the Ethereum development very well.</li>
</ul>
<h3>
Most popular Java based blockchain projects </h3>
If you are coming from a technical background, it makes sense to
build on that knowledge and see what blockchain brings to the table. In
the end, blockchain is a fully new technology, but a new combination of
existing technologies with human behavior fueled by network effects.<br />
<br />
It
is worth stating that the popular technologies such as Java, .Net, relational
databases are not common in the blockchain space. This space is
primarily dominated by C, Go, Rust on the server side, and JavaScript on
the client side. But if you know Java, there are a few projects and
components written in Java that can be used as a leveraged entry point to the blockchain space.<br />
<div class="separator" style="clear: both; text-align: center;">
</div>
Assuming you read the above two books, and want to get your hands dirty, here are a few open source blockchain projects written in Java:<br />
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<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8Z4nbDKMhdG01m5AtIaVQkO_dbIFM6fbQWG5FQrjC1zZfOPHfLIpaRMn1uaDUJzwN_oIkqgpk1sgaqzdFsrqVoc7aJimKoz-MmhPNpkPt8_87809TqvHC4K0oNf_SgAMmgtblnvmyYtQr/s1600/1*ssx47qR6-qebWq43BSdVYA.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" data-original-height="880" data-original-width="1600" height="176" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh8Z4nbDKMhdG01m5AtIaVQkO_dbIFM6fbQWG5FQrjC1zZfOPHfLIpaRMn1uaDUJzwN_oIkqgpk1sgaqzdFsrqVoc7aJimKoz-MmhPNpkPt8_87809TqvHC4K0oNf_SgAMmgtblnvmyYtQr/s320/1*ssx47qR6-qebWq43BSdVYA.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">Popular Java-based blockchain projects</td></tr>
</tbody></table>
<ul>
<li><b><a href="https://github.com/corda/corda" target="_blank">Corda</a></b> - this is probably the most natural starting point for a Java developer. Corda is JVM based project that builds on top of popular widely used Java projects such as Apache Artemis, Hibernate, Apache Shiro, Jackson, and relational databases. It is inspired by Bitcoin, but has elements of business processes, messaging, and other familiar concepts. Check out my first impressions from it as a Java developer <a href="https://medium.com/coinmonks/a-java-developers-first-impressions-from-corda-a5e3d6ce6e44" target="_blank">here</a>. </li>
<li><b><a href="https://github.com/PegaSysEng/pantheon" target="_blank">Pantheon</a></b> - is a full implementation of an Ethereum node in Java. It is specifically created to attract developers from the Java ecosystem into the blockchain world. Here is an <a href="https://slideslive.com/38911752/introducing-pantheon-a-mainnet-java-client-demo-roadmap" target="_blank">intro</a> and a <a href="https://www.youtube.com/watch?v=OKWBr94J9rY&amp=&feature=youtu.be&utm_source=Registered+for+Webinar+1&utm_campaign=c69f56e161-EMAIL_CAMPAIGN_2018_12_19_03_54&utm_medium=email&utm_term=0_d3baeca38b-c69f56e161-67110601" target="_blank">getting started</a> video by its creators.</li>
<li><b><a href="https://github.com/bitcoinj/bitcoinj" target="_blank">BitcoinJ</a></b> - is the most popular Java implementation of the Bitcoin protocol. If you prefer to start with Bitcoin directly, this is the Java project to explore.</li>
<li><b><a href="https://github.com/web3j/web3j" target="_blank">Web3J</a></b> - while Corda, Pantheon are examples of a full blockchain node implemented in Java, Web3J is client library written in Java. It is very <a href="https://web3j.io/" target="_blank">well documented</a> and active project that makes talking to Ethereum compatible nodes straight forward. I created a <a href="http://camel.apache.org/" target="_blank">Apache Camel</a> connector for it and wrote about it <a href="https://medium.com/@bibryam/enterprise-integration-for-ethereum-fa67a1577d43" target="_blank">here</a>.</li>
<li><b><a href="https://github.com/hyperledger/fabric-sdk-java" target="_blank">Hyperledger Fabric Java SDK</a></b> - one of the most popular enterprise blockchain projects is <a href="https://www.hyperledger.org/projects/fabric" target="_blank">Hyperledger Fabric</a> and it has a full-featured Java SDK to play with. </li>
</ul>
<ul>
<li><b><a href="https://github.com/fundrequest/" target="_blank">FundRequest</a></b> - I also want to point you to full end user applications written in Java. While the above projects are examples of clients or nodes, FundRequest is an open source funding platform implemented on top of Ethereum network and fully written in Java. It gives a good idea how to implement a complete blockchains project interacting with the Ethereum network.</li>
<li><b><a href="https://medium.com/quiknode/ethereum-events-monitoring-using-eventeum-f81695d92e05" target="_blank">Eventum</a></b> - this is a Java project that can help you monitor the Ethereum network and store Events on Kafka. It addresses a few of the common challenges when integrating with blockchain networks which are decentralized.</li>
</ul>
If you are still not sure where to start, I suggest you read Mastering Bitcoin, that will give you the solid foundation. If you like touching technology before reading, go to Github and play with one of the projects listed above. The rest will follow. The future is <a href="https://opensource.com/article/18/8/open-source-tokenomics" target="_blank">open</a> and <a href="https://techcrunch.com/2019/02/05/blockchain-as-integration-evolution/" target="_blank">decentralized</a>.Unknownnoreply@blogger.com0