Systems Engineering

I wrote this book to show exactly what happens when you add Rust to the kernel. Not as a toy. Not as a single driver in a conference demo. It's a full module that covers process management, memory allocation, file systems, networking, device drivers, inter-process communication, and even machine learning inference. It's all built on safe abstractions, all compiled into one loadable binary, all tested on a running kernel. You'll find that each chapter adds new source files to the same module.

Master SysML v2 from the ground up with a clear, practical guide that bridges theory and real engineering. Explore the language, its formal foundations and proven modeling techniques through hands-on examples and industry case studies across aerospace, robotics, medical devices, telecommunications and more.

Build Linux from the ground up and see what really happens under the hood. From firmware and bootloader to kernel, libc, init, networking and security, this book strips the system down to its essentials while explaining why every piece exists, what depends on it and how far you can push minimalism.

Build fast, secure and portable applications with WASI. Start with the fundamentals, then move into components, WIT, Wasmtime and real production patterns using Rust, C, Go and JavaScript. From sandboxed plugins to serverless and edge workloads, this practical guide gives you the skills to take WebAssembly from your first experiment to production.

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.

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.

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.

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.

Go beyond Go syntax and learn how real systems are built. Modern Go Systems Programming with Go 1.27 takes you from core language concepts to concurrency, networking, databases, observability and deployment, with runnable examples that show how everything fits together in production-grade distributed systems.

Build serious AI systems on NVIDIA DGX Spark with a practical guide that goes far beyond setup. Learn to deploy LLMs, create RAG pipelines, orchestrate AI agents, and optimize performance for real production workloads. Whether you are experimenting or scaling enterprise AI, this book shows you how to get there.

The Linux Virtual Filesystem is the abstraction that unifies every filesystem in Linux behind a single interface. This book explores its architecture, kernel implementation, and modern applications, giving system administrators, developers, and kernel engineers the knowledge to understand, troubleshoot, and extend the VFS.

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.

Take a practical journey through SGLang, from its core architecture to real-world deployment and optimization. Built for engineers who need to run LLM inference reliably at scale, this handbook breaks down the tools, techniques and operational know-how needed to build and maintain production-ready SGLang systems.

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.

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.