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You're reading from Hands-On High Performance with Go Boost and optimize the performance of your Golang applications at scale with resilience

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781789805789

Length 406 pages

Edition 1st Edition

Languages

Tools

Boost

Concepts

High Performance Programming

Author (1):

Bob Strecansky

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Table of Contents (20) Chapters

Preface

1. Section 1: Learning about Performance in Go

2. Introduction to Performance in Go FREE CHAPTER

3. Data Structures and Algorithms

4. Understanding Concurrency

5. STL Algorithm Equivalents in Go

6. Matrix and Vector Computation in Go

7. Section 2: Applying Performance Concepts in Go

8. Composing Readable Go Code

9. Template Programming in Go

10. Memory Management in Go

11. GPU Parallelization in Go

12. Compile Time Evaluations in Go

13. Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind

14. Building and Deploying Go Code

15. Profiling Go Code

16. Tracing Go Code

17. Clusters and Job Queues

18. Comparing Code Quality Across Versions

19. Other Books You May Enjoy

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Exploring the Go runtime

Within the Go source code, we can see the runtime source by looking at https://golang.org/src/runtime/. The runtime package contains operations that interact with the Go runtime. This package is used to control things such as goroutines, garbage collection, reflection, and scheduling, which are all functions that are essential to the operation of the language. Within the runtime package, we have many environment variables that help us change the runtime behavior of Go executables. Let's review some of the most important environment variables we can talk about with respect to the Go runtime.

GODEBUG

GODEBUG is the controller of the variables and is used for debugging within the Go runtime. This...

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Authors (1)

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

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