Hands-On High Performance with Go: Boost and optimize the performance of your Golang applications at scale with resilience

Book Description
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.

What you will 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
Who this book is for
This Golang book is a must for developers and professionals who have an intermediate-to-advanced understanding of Go programming, and are interested in improving their speed of code execution.

Table of Contents
Introduction to Performance in Go
Data Structures and Algorithms
Understanding Concurrency
STL Algorithm Equivalents in Go
Matrix and Vector Computation in Go
Composing Readable Go Code
Template Programming in Go
Memory Management in Go
GPU Parallelization in Go
Compile Time Evaluations in Go
Building and Deploying Go Code
Profiling Go Code
Tracing Go Code
Clusters and Job Queues
Comparing Code Quality Across Versions