Book Image

Hands-On High Performance with Go

By : Bob Strecansky
Book Image

Hands-On High Performance with Go

By: Bob Strecansky

Overview of this book

Go is an easy-to-write language that is popular among developers thanks to its features such as concurrency, portability, and ability to reduce complexity. This Golang book will teach you how to construct idiomatic Go code that is reusable and highly performant. Starting with an introduction to performance concepts, you’ll understand the ideology behind Go’s performance. You’ll then learn how to effectively implement Go data structures and algorithms along with exploring data manipulation and organization to write programs for scalable software. This book covers channels and goroutines for parallelism and concurrency to write high-performance code for distributed systems. As you advance, you’ll learn how to manage memory effectively. You’ll explore the compute unified device architecture (CUDA) application programming interface (API), use containers to build Go code, and work with the Go build cache for quicker compilation. You’ll also get to grips with profiling and tracing Go code for detecting bottlenecks in your system. Finally, you’ll evaluate clusters and job queues for performance optimization and monitor the application for performance regression. By the end of this Go programming book, you’ll be able to improve existing code and fulfill customer requirements by writing efficient programs.
Table of Contents (20 chapters)
Section 1: Learning about Performance in Go
Section 2: Applying Performance Concepts in Go
Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind

Understanding WaitGroups

WaitGroups are commonly used in order to validate the fact that multiple goroutines have completed. We do this in order to make sure we have completed all of the concurrent work that we expect to complete.

In the example in the following code block, we make requests to four websites with a WaitGroup. This WaitGroup will wait until all of our requests have been completed, and will only finish the main function after all of the WaitGroup values have been returned:

  1. First, we initialize our packages and set up our retrieval function:
package main

import (

func retrieve(url string, wg *sync.WaitGroup) {
// WaitGroup Counter-- when goroutine is finished
defer wg.Done()
start := time.Now()
res, err := http.Get(url)
end := time.Since(start)