Overview

Your Go application should be fast. It was designed for it. So why is your p99 latency spiking? Why is your CPU idle while your users are waiting? Why is memory usage climbing for no logical reason? The problem isn't Go. It's the ""guesswork."" Stop guessing. Stop restarting the server and ""hoping for the best."" Stop blaming the database when the real culprit is a fmt.Sprintf in a hot loop. The answers to your performance problems are not a mystery-they are waiting for you in the data. This book is the blueprint for finding them. ""The Go Performance Blueprint"" is not another collection of scattered ""tips and tricks."" It is a systematic, step-by-step method for transforming you from a Go developer into a Go performance engineer. Written by an expert Go developer and coach, this book provides the blueprint that separates senior engineers from the rest. It's a journey from ""it works"" to ""it's proven fast."" Inside, you will master: The End of Guesswork: Learn to wield pprof like a professional. You will turn confusing, intimidating flame graphs into a crystal-clear action plan, pinpointing the exact line of code that's burning your CPU or churning your memory. The Memory Game (And How to Win): Stop fighting the Garbage Collector and learn to help it. You'll go deep on the stack vs. the heap, uncover hidden allocations with escape analysis, and master the art of slaying allocations with sync.Pool and zero-alloc streaming. The Million-Worker Army: Go beyond just launching goroutines. You will learn to manage them. Master the advanced concurrency patterns-like worker pools, fan-in/fan-out, and rate limiters-that allow you to build robust, leak-free, high-throughput systems that can handle any load. The ""Secret Sauce"" Under the Hood: This book demystifies the Go runtime. You'll finally understand the G-M-P scheduler, why a cgo call is a 100x performance cliff, and how to use the Execution Tracer to diagnose latency problems that pprof can't even see. The Science of ""Fast"" Stop lying to yourself with bad benchmarks. Learn to write tests that tell the truth, avoid compiler traps, and use benchstat to prove, with statistical certainty, that your ""fix"" is genuinely, quantifiably faster. By the end of this book, you will no longer be a ""guesser."" You will be an engineer. You will have the confidence and the toolkit to diagnose and fix any performance bottleneck, backed by hard, undeniable data. It's time to stop building apps that just function. It's time to start building applications that are elite.

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