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

Data Structures and Algorithms

Data structures and algorithms are the basic units of building software, notably complex, performance software. Understanding them helps us think about how to impactfully organize and manipulate data in order to write effective, performant software. This chapter will include explanations of different data structures and algorithms, as well as how their Big O notation is impacted.

As we mentioned in Chapter 1, Introduction to Performance in Go, design-level decisions very often have the most measurable impact on performance. The least expensive calculation is the one you don't have to make if you work toward optimizing your design early on while architecting your software, you can save yourself from a lot of performance penalties down the line.

In this chapter, we will be discussing the following topics:

  • Benchmarking by utilizing Big...