Performance of Rust Applications: Code and System Optimization

The book "Performance of Rust Applications" is a practical guide for developers who want to get the most out of the Rust language and create high-performance, reliable, and efficient programs. Unlike many other materials, this book does not just teach syntax, but immerses you in the world of low-level optimization, profiling, and systems thinking.

Rust has already established itself as an ideal language for systems programming, web services, games, and embedded systems. However, to use its potential 100%, it is not enough to just write code that compiles. You need to understand how memory works, how the compiler optimizes code, and how to properly design architecture with performance in mind.

What you will learn from this book:

• Profiling and Benchmarking: How to measure performance using tools like perf, flamegraph, and Rust's built-in benchmarks. You will learn to find bottlenecks in code.
• Memory Management: A deep understanding of the stack and heap, allocations, ownership, and borrowing. How to avoid unnecessary copies and use Box, Rc, Arc, and Vec with maximum efficiency.
• Concurrency and Asynchrony: Efficient use of threads, mutexes, channels, and async runtimes (tokio, async-std). You will learn how to avoid data races and deadlocks.
• Low-Level Optimizations: Working with unsafe code, intrinsics, SIMD instructions, and manual memory management. Analysis of trade-offs between safety and speed.
• Architecture and Design: How to build modular and scalable systems that are easy to maintain and accelerate. Patterns for caching, lazy evaluation, and zero-cost abstractions.
• I/O and Network Optimization: Working with files, sockets, and databases. How to minimize latency and increase throughput.

Who this book is for:

• Rust developers who want to move from writing "working" code to writing "fast" code.
• Systems programmers interested in performance optimization at the kernel and memory level.
• Backend developers creating high-load services and APIs.
• DevOps and SRE specialists who want to gain a deeper understanding of how their Rust applications work.

The book contains numerous practical examples, real-world cases, and exercises. Each chapter concludes with a summary and tasks for independent work. You will learn not just to speed up code, but to make informed decisions, sacrificing convenience for performance where it is truly necessary.

Regardless of your current level — from beginner to experienced developer — this book will become a desktop reference for creating fast and reliable programs in Rust.