Systems Engineering

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.

Build Linux systems that do more than boot. This hands-on guide takes you from bootloader and kernel to secure updates, reproducible images, manufacturing and fleet operations. With runnable code and production-tested techniques, you’ll learn how to build Linux appliances designed for the real world.

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.

Master Nix without the usual frustration. This practical guide takes you from your first reproducible development environment to production ready infrastructure with clear explanations and real examples. Learn the patterns that help DevOps and platform teams build reliable systems that scale with confidence.

Troubleshooting Linux systems can feel like solving a mystery—but the right strategies make all the difference. This ebook teaches practical techniques, tools, and real-world approaches that help you diagnose problems faster and fix them with confidence.

PostgreSQL Under Load shows what really happens when production gets busy. Learn how connections, transactions, MVCC, locks, WAL and autovacuum interact under pressure, then use that knowledge to diagnose incidents, tune PostgreSQL and build systems that stay reliable when concurrency spikes.

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.

Discover how eBPF is changing Linux systems engineering. Starting with the fundamentals, this book walks you through building, debugging and deploying real eBPF programs for observability, networking, security and performance. Learn practical techniques you can use with confidence in production across modern Linux environments.

Build fast, portable software that runs almost anywhere with WebAssembly. From reusable libraries and command line tools to plugins and server-side services, this practical guide shows how Wasm works and how to use it in real projects with complete code and clear explanations from start to production.

Apache APISIX is redefining what an API gateway can do in the age of AI. This hands-on guide takes you from the fundamentals to production-ready deployments, showing you how to build secure, scalable, and intelligent gateways for APIs, microservices and AI applications. With practical examples, you will gain the skills to confidently deploy, manage and optimize modern API infrastructure.

Build a powerful AI assistant that runs entirely on your own hardware. The Ollama Assistant Handbook takes you from installation to a production-ready assistant with memory, tools, voice, vision, and automation through practical, hands-on examples you can use immediately.

macOS powers millions of devices, but few developers ever explore what lies beneath its polished interface. Inside macOS explains how the XNU kernel, Mach, BSD, Apple Silicon, APFS, and modern security technologies work together, giving systems programmers, security researchers, and engineers a deep understanding of Apple's operating system.

Zig in Depth is a practical guide to modern systems programming with Zig. Through clear explanations and runnable examples, you'll learn to write safe, efficient, and idiomatic Zig code, from the language fundamentals to advanced features like comptime, memory management, concurrency, and C interoperability.

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

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.