Books

Migrating from JDK 8 to a modern Java release crosses years of platform change, and the hardest failures are not always the ones that stop your application. This practical guide shows you how to find what will break, understand why, and fix it systematically using real tools, reproducible examples, and a failure catalogue built around the problems Java teams actually hit.

Turn your engineering team into a force multiplier, not a bottleneck. This book gives current and aspiring engineering managers practical frameworks, questions, and examples for everything from one on ones and feedback to scaling teams and navigating crises.

What is a good software architecture? Why should we bother structuring the code and spending time testing it? If you like spending hours debugging your programs or staying late at the office to recover from a buggy deploy in production this book is definitely NOT for you!

This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.

Learning about microcontrollers? Want to avoid the mistakes that I made along my learning journey? All the tips and tricks that will help you advance your skills, demonstrated using a Raspberry Pi Pico.

Stay informed about the technology that matters.IT & AI Digest brings together concise analysis and insights on artificial intelligence, software, cybersecurity, cloud computing, robotics, digital business, and emerging technologies.No endless scrolling. No unnecessary noise.Just important ideas, explained clearly.Read less. Understand more.

The hardest part of stats is understanding how it all fits together. If you want a book that takes you from the very basics all the way through to the most advanced concepts, this is for you!

ZeroClick is when the system removes friction in order to hijack control before you make a choice. From Big Tech interfaces to biological parasites, from social manipulations to your own psyche — one protocol, different substrates. You do not press — someone already pressed for you. The only question is whether you will notice it.

Your tests pass, the agent says it's done — but does your software work? A field manual for verifying what your AI coding agent actually built.

You’ll find inside:- An atlas of system topologies.- A compendium of architectural patterns.- One of the largest and most cohesive pattern languages.

"Data Science Project: An Inductive Learning Approach" provides a comprehensive methodology for data science project development, emphasizing software engineering principles essential for reliable solutions. Dr. Filipe Verri, a senior data science project manager, guides readers through the origins, scope, and key concepts of data science. This book covers machine learning, data handling, and rigorous validation techniques, all essential for preparing readers to tackle complex, real-world projects.

GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?