Hands-On High Performance with Go

More Information
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
About

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.

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
Page Count 406
Course Length 12 hours 10 minutes
ISBN 9781789805789
Date Of Publication 24 Mar 2020

Authors

Bob Strecansky

Bob Strecansky is a senior site reliability engineer. He graduated with a computer engineering degree from Clemson University with a focus on networking. He has worked in both consulting and industry jobs since graduation. He has worked with large telecom companies and much of the Alexa top 500. He currently works at Mailchimp, working to improve web performance, security, and reliability for one of the world's largest email service providers. He has also written articles for web publications and currently maintains the OpenTelemetry PHP project. In his free time, Bob enjoys tennis, cooking, and restoring old cars. You can follow Bob on the internet to hear musings about performance analysis: Twitter: @bobstrecansky GitHub: @bobstrecansky