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 profiling

Profiling Go code is one of the best ways to determine where the bottlenecks are within your code base. We have physical limitations to our computer systems (CPU clock speed, memory size/speed, I/O read/write speeds, and network throughput, to give a few examples), but we can often optimize our programs to more efficiently utilize our physical hardware. After a profile of a computer program is taken with a profiler, a report is created. This report, often called a profile, can tell you information about the program that you ran. There are many reasons why you might want to understand the CPU and memory utilization of your program. A couple of examples are listed as follows:

CPU profiling reasons:

  • Check performance improvements in new releases of software
  • Validate how much CPU is being utilized for each task
  • Limit CPU utilization in order to save money
  • ...