Books
Books have been one of the most useful ways for me to turn years of open source, cloud-native, integration, and AI work into something durable. This page collects the book-related work I have done: books I wrote, manuscripts I reviewed, books I endorsed, and book notes I published.
My recurring interest is pattern-based learning: naming practical problems, explaining the trade-offs, and giving software professionals a reusable way to reason about real systems.
Books I Wrote
Book project
Prompt Patterns
My latest book project is about treating prompting as a design problem, not a bag of tricks. It captures reusable prompt patterns for shaping objectives, context, constraints, reasoning, validation, and output structure when working with LLMs.
Co-author
Kubernetes Patterns
Written with Roland Huß, this book explains Kubernetes through recurring application and platform patterns rather than isolated API objects. It is for developers and architects who want to design applications that fit naturally into Kubernetes.
Author
Camel Design Patterns
A focused book on the design decisions behind real Apache Camel applications: route structure, error handling, reuse, scalability, high availability, and the surrounding integration architecture.
Author
Instant Apache Camel Message Routing
My first short-form technical book, focused on getting started with Apache Camel message routing and the core ideas behind integration flows.
Technical Reviewer Credits
Beyond writing my own books, I have helped authors and publishers as a technical reviewer. That work is less visible than authorship, but it matters: a good reviewer challenges weak explanations, catches technical mistakes, tests whether examples make sense, and helps the book become more useful for readers.
My reviews usually focus on topics I have worked with directly: distributed systems, Kubernetes, cloud-native architecture, Apache Camel, integration, messaging, Dapr, AI-assisted software development, and open source.
Technical reviewer
Generative AI on Kubernetes
I was a technical reviewer for this O'Reilly book by Roland Huß and Daniele Zonca on running and operationalizing LLM workloads on Kubernetes.
Technical reviewer
Apache Camel Developer's Cookbook
I was a technical reviewer for this cookbook of Apache Camel integration recipes by Scott Cranton and Jakub Korab.
Technical reviewer
Hacking Kubernetes
I was a technical reviewer for this O'Reilly book by Andrew Martin and Michael Hausenblas, which focuses on Kubernetes security, threat analysis, and defense.
Technical reviewer
Kubernetes Best Practices
I reviewed this practical O'Reilly guide to building and running applications on Kubernetes, with attention to production relevance and clear explanation of platform patterns.
Technical reviewer
Operating OpenShift
I was a technical reviewer for this O'Reilly book by Rick Rackow and Manuel Dewald, focused on operating OpenShift from an SRE perspective.
Technical reviewer
Camel in Action
I was a technical reviewer for the second edition of Manning's Apache Camel guide by Claus Ibsen and Jonathan Anstey.
Forewords and Endorsements
I also contribute forewords and endorsements for selected books where I can comment from direct experience. The strongest fit is usually a practical, pattern-oriented book grounded in real software delivery.
Foreword
Mastering Kubernetes
I wrote the foreword for Gigi Sayfan's guide to Kubernetes and cloud-native systems.
Endorsement
Kubernetes - An Enterprise Guide
I provided an endorsement for this enterprise Kubernetes guide by Marc Boorshtein and Scott Surovich.
Endorsement
Hands-On Software Architecture with Java
I provided an endorsement for Giuseppe Bonocore's book on software architecture practices for Java applications.
Endorsement
Design Patterns for Cloud Native Applications
I provided an endorsement for Kasun Indrasiri and Sriskandarajah Suhothayan's book on practical cloud-native application patterns.
Book Reviews and Reading Notes
I often turn useful books, podcasts, and frameworks into public notes. These are not formal academic reviews; they are working notes for software people who want the main ideas, practical takeaways, and links to go deeper.
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The Best Startup Book I Read in 2024: Falling in Love with the Problem, Not the Solution
Notes on product-market fit, business model, and growth from Uri Levine's book. -
Good Strategy vs Bad Strategy
Notes on Richard Rumelt's strategy ideas and how to separate goals from real strategy. -
Product-Market Fit Framework for B2B Startups
A practical summary of PMF levels, signals, and focus areas for B2B startups.
Book Reviews on X
I also share shorter book reactions, quotes, and reading notes on X / Twitter. Those posts are usually more immediate: a useful idea from a book, a diagram, a short recommendation, or a note that later becomes a longer blog post.
For Authors and Publishers
If you are writing a practical technical book and want a reviewer, endorsement, or early feedback, the best fit is usually a book around AI for developers, cloud-native architecture, Kubernetes, Dapr, integration, distributed systems, open source, or developer tools.
Reach me through X / Twitter or the contact details on my About page.
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