Books

Are you a VP or Head of Engineering considering the best quality engineering model for your company? Are you a director of Engineering tasked with rolling out a Quality Coach Model? Are you a test lead or software tester shifting to a quality coach role? The Quality Coach Handbook is your practical guide to shifting to a model where the whole team owns quality and in particular software engineers design, build, test and support software. Print version: Paperback and hardcover are available on Amazon. Use your country's Amazon site (e.g., Amazon.com.au for Australia) to minimise shipping time and cost.

Design Patterns in Modern Perl shows all 23 classic “Gang of Four” patterns implemented in real, runnable modern Perl. See each pattern in bless/Class::Mite, Moo, and class/Object::Pad, with tests and benchmarks you can run yourself. Use it as a practical handbook for designing, refactoring, and modernising serious Perl applications.

Most products burn millions chasing growth, only to watch users leave as fast as they arrive. This book shows you how to build self-sustaining loops where every user makes your product faster, stickier, and more valuable, turning expensive acquisition into compounding, unstoppable momentum. Stop running on a treadmill. Start building a flywheel.

 Your CEO asks for an estimate. Your engineer says "3 weeks." Your CEO responds "you have 3 days." Sound familiar? After 30 years managing engineering teams, I've learned that most estimation is pure waste—and the pressure to give "better estimates" destroys trust and team morale. This book reveals a counterintuitive truth: stop estimating so much. Only estimate when it directly drives decisions. Learn why software estimation is fractal (like measuring Britain's coastline), how to distinguish effort from duration, and why your team keeps "missing deadlines." Discover how to reframe engineering from a cost center (always fighting for budget) to a profit center (getting the resources you deserve). Written for CTOs and engineering leaders, this practical guide delivers immediately actionable frameworks based on real experience coaching dozens of technical leaders. No theory, no agile dogma—just honest advice on estimation that actually works.

El Framework MLOps para eliminar la Deuda Técnica de Python IA en producción. ¡Garantía Cero Fallos!

Master Data and ML Systems at ScaleYou don't master data platforms from textbooks — you master from solving real problems at petabyte scale.Grokking Data Analytics and Machine Learning teaches through production scenarios and case studies. 100 scenario-driven case studies covering:✅ Lakehouse architecture with Delta Lake, Iceberg, Hudi✅ Real-time pipelines with Kafka, Spark, Flink✅ Feature stores with Feast for training-serving consistency✅ MLOps platforms with MLflow, SageMaker, Airflow✅ Data quality frameworks with Great Expectations✅ Multi-region data sync and model serving at scale Every scenario includes: production challenge, architectural trade-offs, data/ML patterns, decision frameworks, and interview-ready explanations. Learn through real-world case studies from Netflix, Uber, Airbnb, Spotify's petabyte-scale data and ML architectures. Your journey from data engineer to architect begins here — with scenarios you'll face and systems you can build.

O Jetpack Compose é o futuro da UI do Android. Domine como ele funciona internamente e torne-se um desenvolvedor mais eficiente com ele. Você também achará útil mesmo se não for um desenvolvedor Android. Este livro fornece todos os detalhes para entender como o Compose compiler e o runtime funcionam, e como criar uma biblioteca cliente usando-os.

Jetpack Compose是Android界面开发的未来。掌握其内部工作原理，让您成为更高效的开发者。即使您不是Android开发者，这本书对您来说也很有价值。本书详细介绍了Compose编译器和运行时的工作原理，以及如何使用它们创建客户端库。

Jetpack Compose 是 Android 使用者介面的未來。透過深入了解其內部運作原理，你將成為更有效率的開發者。即使你不是 Android 開發者，這些知識對你來說也很有價值。本書提供所有細節，幫助你理解 Compose 編譯器和執行時期是如何運作的，以及如何使用它們來建立客戶端程式庫。

The history of software engineering is a story of continuous abstraction. We moved from machine code to assembly, from assembly to compiled languages, and from monolithic applications to microservices. Each step simplified the how of computation, allowing us to focus on the what.Today, we stand at the precipice of the most profound abstraction yet: Intelligence.This book is the field guide for that transition. It’s written by someone who has been in the trenches, shipping intelligent systems across continents, from solving scale issues in Silicon Valley to architecting robust, low-bandwidth solutions in Lagos. It’s a practical, no-hype look at what works when building intelligent software.Read it, absorb it, and be prepared to transition from a code writer to an architect of intelligence.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.

Agentic coding is transforming how developers write software. Instead of relying on static code completion, you now collaborate with autonomous AI agents that plan, execute, and improve with you. Agentic Coding for Beginners introduces this new era of intelligent development through practical, tool-agnostic lessons. You’ll learn to design workflows, manage context, and build multi-agent systems that handle complex tasks with precision. Using examples from ChatGPT, Copilot, VS Code, and CrewAI, the book shows how to combine automation with human judgment for better results. Written for developers who want to move beyond simple prompts, it teaches how to think in loops of planning, acting, and reflecting, the foundation of agentic systems. Whether you’re refining your coding process or exploring AI-driven workflows for the first time, this guide helps you bridge the gap between coding and cognition, preparing you for the next generation of software engineering.

The Ultimate System Design Cheatsheet isn’t another 400-page textbook full of theory. It’s a fast, practical, no-fluff guide that distills years of experience, research, and top interview questions into one compact, visual, and easy-to-recall handbook.

What happens when machines stop merely assisting developers and start thinking with them?Developer Productivity and Cognitive Automation takes you inside the next evolution of software engineering: where AI becomes your co-creator, automation becomes cognitive, and productivity is measured not in lines of code, but in focus, creativity, and flow.Through vivid stories, from high-pressure fintech teams in Lagos to AI-powered engineering squads in the UK, the book unveils how the smartest organizations are redefining “developer productivity” around mental energy, collaboration, and innovation. Whether you’re a coder, team lead, or tech executive, this book shows you how to build systems that amplify human intelligence, not replace it

Every Node.js developer uses asynchronous code but only a few truly understand what happens behind the scenes. This book reveals the internals of the Node.js Event Loop, including microtasks, macrotasks, and concurrency under load. You'll learn to master performance, scalability, and non-blocking architecture at a level that sets professionals apart.