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)
1
Section 1: Learning about Performance in Go
7
Section 2: Applying Performance Concepts in Go
13
Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind

Cgo – writing C in Go

Cgo is a library that is built into the standard library of Go that allows users to invoke calls to underlying C programs in their Go code. Cgo is often used as a delegator for things that are currently coded in C but don't have equivalent Go code written.

Cgo should be used sparingly and only when there isn't an equivalent Go library available for a system. Cgo adds a few limitations to your Go programs:
  • Needless complexity
  • Difficulty troubleshooting
  • Added complexity of building and compiling C code
  • Much of Go's tooling is not available for use in Cgo programs
  • Cross-compiling doesn't work as expected or at all
  • The complexity of C code
  • Native Go calls are much faster than Cgo calls
  • Slower build times

If you can (or must) live with all of these stipulations, Cgo may be a necessary resource for the project that you're working...