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

Implementing tracing instrumentation

Go's concurrency model uses goroutines, and is very powerful. One of the drawbacks of having high concurrency is that you will experience difficulty when you attempt to debug that high-concurrency model. To avoid this difficulty, the language creators created go tool trace. They then distributed this in Go version 1.5 in order to be able to investigate and resolve concurrency issues. The Go tracing tool hooks into the goroutine scheduler so that it can produce meaningful information about goroutines. Some of the implementation details that you may want to investigate with Go tracing include the following:

  • Latency
  • Contention of resources
  • Poor parallelism
  • I/O-related events
  • Syscalls
  • Channels
  • Locks
  • Garbage Collection (GC)
  • Goroutines

Troubleshooting all of these issues will help you to build a more resilient distributed system. In the next...