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


In this chapter, we learned the core concepts of performance in computer science. We also learned some of the history of the Go computer programming language and how its inception ties in directly with performance work. Lastly, we learned that Go is used in a myriad of different cases because of the utility, flexibility, and extensibility of the language. This chapter has introduced concepts that will continually be built upon in this book, allowing you to rethink the way you are writing your Go code.

In Chapter 2, Data Structures and Algorithms, we'll dive into data structures and algorithms. We'll learn about different algorithms, their Big O notation, and how these algorithms are constructed in Go. We'll also learn about how these theoretical algorithms relate to real-world problems and write performant Go to serve large amounts of requests quickly and efficiently. Learning more about these algorithms will help you to become more efficient in the second layer of the optimizations triangle that was laid out earlier in this chapter.