Books

The book contains the full transcript of Software Diagnostics Services training with 16 hands-on exercises on various topics related to Linux API.

This book flattens Rust's incredibly steep learning curve. Each chapter introduces enough of Rust's syntax, data structures, and functions to incrementally build a fully functional, real-world Unix command-line interface (CLI) program, without overwhelming you with advanced language concepts such as lifetimes. Every new Rust programmer should read this book first to build the intuition and experience they'll need to become a confident Rust developer.

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.

This third edition covers Rust 1.85 and the Rust 2024 Edition in full. The new chapters on concurrency, the 2024 edition migration, GPU computing, Go integration, and Linux kernel programming show where the Rust community has moved since the second edition, and where systems programming as a discipline is heading. You might be writing your first Rust function or your hundredth production service, but I hope this book makes the language feel less like a puzzle and more like a tool you are already familiar with. That was the only goal I had when I wrote it.

The book also provides hands-on examples and exercises to help you practice and apply the concepts you've learned. With clear explanations, practical examples, and expert advice, this book will help you get an edge on Rust programming and become proficient in building and testing Rust applications, right from day one.

"Your Java microservice runs in 2GB of memory. The same service in Rust? 200MB. Scale that across 100 instances in production, and you're looking at $3,000/month in savings. But it's not just about money—it's about predictability. While Java's garbage collector unpredictably pauses your latency-critical workloads, Rust guarantees deterministic performance. This book teaches you Rust from a Java developer's perspective: same powerful type system, same design patterns, but with compile-time safety that prevents entire categories of bugs. No more race conditions in concurrent code. No more null pointer exceptions. Just code that works, fast."

Fearless Rust, Don’t Panic! is a practical, engineering-first guide to becoming productive in Rust without getting stuck in borrow-checker dead ends. You will build a solid mental model for ownership and borrowing, learn the patterns that scale to real projects, and write Rust that is both safe and maintainable. If you want Rust’s reliability and performance without weeks of frustration, this book is your shortcut.

 Learn the hardware rules that make Rust code fast

Every .map(), .filter(), and .collect() you write is built on a single method: next(). This book shows you what's underneath — and what you can build on top.

Explore the power of Rust with "Rust Projects: Write a Redis Clone". This hands-on guide takes you through building a Redis-inspired database from the ground up, introducing key programming concepts like TCP connections, the RESP protocol, and concurrency. Following the CodeCrafters challenge, this book gradually builds your skills, making complex topics accessible. Whether you're new to Rust or looking to deepen your understanding, this project-based journey offers practical, real-world insights into modern systems programming. The book contains 40% discount code for CodeCrafters.io!

The latest version of Rust (1.85) has some great new features, like async closures, more stable associated function return types, and const generics that are now mature enough to underpin serious numerical libraries. The linfa and smartcore ecosystems have developed into decent classical machine learning stacks. The Burn training framework feels native to Rust, not like it's been ported from it. The Candle makes it so that loading pre-trained transformer models is more of an engineering task than a research exercise. The crates that used to need all sorts of workarounds now just work.

This book is basically a record of my serious learning journey with Zig. The application at its heart, Zigkit, started as a single print statement and ended as twenty-five cooperating modules handling everything from arithmetic to HTTP. It's small enough to understand completely and complete enough to demonstrate every major systems programming concern. Each section of the book adds one module, introduces one concept, and produces one working program.

Take everything you know about Ruby — classes, modules, exceptions, enumerable methods — and translate it directly to Rust. No fluff, no abstract theory, just runnable Ruby-to-Rust comparisons with hands-on exercises.

Most blockchain books teach the theory. This one walks you through building a complete Bitcoin-style blockchain in Rust, end to end — cryptography, consensus, networking, persistence, REST API, desktop wallets, and Kubernetes deployment.

Stop writing builder boilerplate by hand. The bon crate generates compile-time-checked builders in Rust with a single annotation — and this cookbook shows you exactly how to use it, recipe by recipe.