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

Building Go binaries with Docker

Depending on your target architecture, you may wish to build your Go binaries with Docker to maintain a reproducible build, limit your build size, and minimize the attack vectors for your service. Using multistage Docker builds can help us to accomplish this task.

To perform these actions, you must have a recent version of Docker installed. The multistage builds feature that we are going to use requires Docker version 17.05 or higher in both the daemon and the client. You can find the most recent version of Docker for your OS, as well as instructions on how to install it, at

Consider the following simple package that logs a debug message to the screen:

package main
import ""
func main() {
zapLogger: = zap.NewExample()
defer zapLogger.Sync()
zapLogger.Debug("Hi Gophers - from our Zap...