Books

Legacy modernization is an evidence problem before it is a code-generation problem. Use Claude Code to recover hidden behavior, build a verification harness, and move critical systems in controlled, reversible slices without handing production decisions to AI. Includes 26 practical chapters, 86 diagrams, and a runnable companion lab.

AI agents are moving from experiments into real production systems. This book shows experienced engineers how to design, deploy and operate reliable agent systems that can scale. From architecture and infrastructure to security, reliability and governance, it provides practical patterns and production-ready examples for building autonomous systems that work in the real world.

Most architecture books teach you how to design systems. This one teaches you how to become the person who designs them. This book covers everything the job actually requires: the mindset, the technical depth, the decisions, and the organizational and human dimensions that no purely technical book addresses.

Building fast LLM inference is about far more than turning the right knobs. This book takes you inside vLLM and the systems behind it, showing how memory, scheduling, GPUs and distributed serving shape real-world performance. Learn how to measure what matters, find bottlenecks and build inference infrastructure that scales without wasting money.

What does it take to build distributed systems that keep working when things go wrong? Engineering Distributed Systems on the BEAM goes beyond syntax to show how Erlang/OTP turns concurrency, failure and recovery into practical design tools. Build a real system from the ground up, then learn how to scale, deploy and operate it with confidence.

Concurrency is where small mistakes become serious problems. This practical guide takes you from hardware and memory models to locks, atomics and lock-free algorithms, with a focus on building fast, reliable systems that hold up under real production workloads.

Build AI agents that actually hold up in production. This practical guide covers agent architecture, tool use, multi-agent systems, security, reliability, observability and operations, with working code throughout. Learn how to build agents that are dependable, cost-aware and ready for the real world.

Master Terraform from your first configuration to production infrastructure at scale. Learn through practical examples, real cloud scenarios and proven patterns for building secure, reliable infrastructure. Go beyond the syntax to understand the decisions, trade-offs and workflows that help teams use Terraform with confidence.

The first thing many people hit with an AI coding assistant is a plateau. A correction made on Monday is gone by Thursday. This book is about the operating model above the prompt, where truth lives, how a correction becomes a standing rule that holds, and which judgments stay in human hands.

Master OpenTofu from the ground up with practical examples, proven patterns and expert guidance for real-world infrastructure. Whether you are migrating from Terraform or starting fresh, this book helps you build reliable, secure and maintainable cloud and on-premises environments with confidence.

Discover how Docker is revolutionizing modern software development by making applications faster to build, easier to deploy, and more reliable to run. Whether you are just getting started or refining production workflows, this practical guide will help you master containers through clear explanations, hands-on examples, and real-world techniques that you can apply with confidence.

What if one physical server could run several independent Linux kernels at the same time? Multikernel Linux explores the technologies behind it, from virtualization and bare-metal partitioning to CPU, memory, devices, networking and storage. It moves from core concepts to practical production setups, with a focus on what really works and why.

Learn Bash the way it should be taught: by building one real, tested backup tool — not toy examples — one Git commit at a time.

A practical look at how the modern Internet edge really works. Explore DNS, BGP, TLS, HTTP/3 and the architecture behind content delivery, then apply that knowledge to building, securing and optimizing Cloudflare in production. No marketing fluff, just the engineering behind the edge.

Jellyfin makes self-hosting your media library look easy, but getting it right takes more than installing a server. This practical guide covers architecture, deployment, administration and optimization, helping you build a reliable setup that works smoothly for local and remote users alike.