Performance of Go (Golang) Applications

The book "Performance of Go (Golang) Applications" is a practical guide for developers who want to learn how to write fast, efficient, and scalable code in Go. The author, experienced engineer Alexey Petrov, shares proven optimization techniques based on real-world projects and a deep understanding of the Go runtime's internals.

What is this book about?

The book covers the full cycle of performance work: from setting up the environment and writing benchmarks to profiling production applications and optimizing at the CPU and memory level. You will learn how Go works "under the hood" and how to use this knowledge to build high-load systems.

Who is this book for?

• Go developers of any skill level who want to write faster code.
• Team Leads and architects responsible for service performance.
• Engineers transitioning from other languages (Python, Java, C++) to Go who want to understand its strengths.
• Anyone who has faced performance issues in production and wants to systematize their knowledge.

What will you learn from this book?

• Profiling and Benchmarking: How to use pprof, trace, benchstat to find bottlenecks.
• Memory Management: How the GC works in Go, how to reduce allocations and avoid memory leaks.
• Concurrency and Parallelism: Optimizing goroutines, channels, sync.Pool, work stealing, and queues.
• CPU Optimization: Inlining, escape analysis, bounds check elimination, and other compiler optimizations.
• Working with Data: Efficient use of slices, maps, strings, structs, and interfaces without losing speed.
• Network and I/O: Optimizing HTTP servers, working with TCP, using epoll/kqueue.
• Production Optimization: Tuning GODEBUG, GOGC, GOMAXPROCS, monitoring, and alerting.
• Practical Examples: Real-world optimization cases (web services, data processors, microservices).

Why should you read this book?

Go is famous for its performance, but without understanding its internal mechanisms, it's easy to write slow code. This book doesn't just list tips — it teaches you to think in terms of performance, analyze profiles, and make informed decisions. You will stop guessing why your application is slow and start confidently fixing problems.

Each chapter contains practical exercises and ready-to-use code examples. The book is suitable both for self-study and for use as a reference in daily work.

If you want your Go applications to run fast, be stable, and consume minimal resources — this book is for you.