sleeping-barber/highperformancewithgo

Writing High Performant Golang Programs

Hands on High Performance With Go

This is the repository associated with the book "Hands on High Performance in Go" By Bob Strecansky

This book can be purchased at the following URLs:

Packt Website (Hardcover and Ebook available)

Amazon (Hardcover and Ebook available)

About 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.

Learn

• Organize and manipulate data effectively with clusters and job queues
• Explore commonly applied Go data structures and algorithms
• Write anonymous functions in Go to build reusable apps
• Profile and trace Go apps to reduce bottlenecks and improve efficiency
• Deploy, monitor, and iterate Go programs with a focus on performance
• Dive into memory management and CPU and GPU parallelism in Go

Features

• Explore Go’s profiling tools to write faster programs by identifying and fixing bottlenecks
• Address Go-specific performance issues such as memory allocation and garbage collection
• Delve into the subtleties of concurrency and discover how to successfully implement it in everyday applications