High-Performance Systems with Rust: Low-Latency Design, Memory Control, and Throughput Engineering: A Comprehensive Guide - Softcover

Crossley, Ethan

 
9798241726322: High-Performance Systems with Rust: Low-Latency Design, Memory Control, and Throughput Engineering: A Comprehensive Guide

Inhaltsangabe

Reactive Publishing

High-Performance Systems with Rust is a practical guide to designing and operating software where latency, throughput, and memory behavior are first-class constraints.

This book is written for engineers building real systems under pressure: trading infrastructure, distributed services, game engines, embedded platforms, data pipelines, and performance-critical backends where milliseconds matter and abstractions have a cost.

Rather than teaching Rust from first principles, the focus is on how to think in Rust when performance is the objective. You’ll learn how Rust’s ownership model, lifetimes, and zero-cost abstractions can be deliberately shaped to produce predictable memory layouts, cache-efficient data flows, and stable low-latency execution paths.

Inside, you’ll explore:

  • Designing low-latency architectures that minimize allocation, contention, and tail latency

  • Precise control of memory, lifetimes, and data ownership for cache-aware performance

  • Throughput engineering techniques for high-load, multi-core systems

  • Lock-free and low-lock concurrency patterns in Rust

  • Profiling, benchmarking, and performance diagnostics that actually surface bottlenecks

  • When to trust abstractions, and when to break them intentionally

The emphasis is on engineering judgment: understanding trade-offs between safety, ergonomics, and raw speed, and making those decisions consciously rather than accidentally.

If you’re already comfortable with systems programming concepts and want to push Rust to its limits in production environments, this book will give you the mental models, patterns, and performance instincts to do it with confidence.

Rust doesn’t just make systems safer. Used correctly, it makes them faster, more predictable, and easier to reason about at scale.

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