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)
1
Section 1: Learning about Performance in Go
7
Section 2: Applying Performance Concepts in Go
13
Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind

Exploring packaging in Go

Packaging is a fundamental part of the Go language. Every single Go program is required to have a package definition on the first line of the program. This helps readability, maintainability, referencing, and organization.

The main package in a Go program uses the main declaration. This main declaration calls the main function of the program. After this occurs, we have other imports within the main function that can be used to import other packages within the program. We should try and keep the main package small in order to modularize all dependencies within our programs. We will talk about package naming next.

Package naming

While naming packages, developers should adhere to the following rules...