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 closures

One of the most important parts of Go is that it is a language that supports first-class functions. First-class functions are functions that have the ability to be passed to other functions as variables. They can also be returned from other functions. This is important to note because we can use them as closures.

Closures are helpful because they are a great way to keep your code DRY as well as helping to isolate your data. Keeping datasets small has been a core tenet of this book thus far, and that doesn't change in this chapter (nor any subsequent chapter). Being able to isolate the data that you wish to manipulate can help you to continue to write performant code.

Closures keep a local scope and have access to the outer function's scope and parameters, as well as global variables. Closures are functions that reference variables outside of their...