Book Image

Effective Concurrency in Go

By : Burak Serdar
5 (1)
Book Image

Effective Concurrency in Go

5 (1)
By: Burak Serdar

Overview of this book

The Go language has been gaining momentum due to its treatment of concurrency as a core language feature, making concurrent programming more accessible than ever. However, concurrency is still an inherently difficult skill to master, since it requires the development of the right mindset to decompose problems into concurrent components correctly. This book will guide you in deepening your understanding of concurrency and show you how to make the most of its advantages. You’ll start by learning what guarantees are offered by the language when running concurrent programs. Through multiple examples, you will see how to use this information to develop concurrent algorithms that run without data races and complete successfully. You’ll also find out all you need to know about multiple common concurrency patterns, such as worker pools, asynchronous pipelines, fan-in/fan-out, scheduling periodic or future tasks, and error and panic handling in goroutines. The central theme of this book is to give you, the developer, an understanding of why concurrent programs behave the way they do, and how they can be used to build correct programs that work the same way in all platforms. By the time you finish the final chapter, you’ll be able to develop, analyze, and troubleshoot concurrent algorithms written in Go.
Table of Contents (13 chapters)

Summary

In conclusion, you do not need atomics to implement correct concurrent algorithms. However, they can be nice to have if you identify a concurrency bottleneck. You can replace some simple mutex-protected updates (such as counters) with atomics, provided you also use atomic reads to read them. You can use CAS operations to detect concurrent modifications, but also note that few concurrent algorithms need that.

In the next chapter, we will look at how we can diagnose problems and troubleshoot them in concurrent programs.