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Hands-On High Performance with Go

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

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789805789
Length 406 pages
Edition 1st Edition
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Author (1):
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Bob Strecansky Bob Strecansky
Author Profile Icon Bob Strecansky
Bob Strecansky
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Table of Contents (20) Chapters Close

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

Introducing Cobra and Viper for configuration programming

Two commonly used Go libraries, spf13/cobra and spf13/viper, are used for configuration programming. Together, these two libraries can be used to create CLI binaries that have many configurable options. Cobra allows you to generate applications and command files, while Viper helps to read and maintain complete configuration solutions for 12-factor Go applications. Cobra and Viper are used in some of the most commonly used Go projects, including Kubernetes and Docker.

To use these two libraries together to make a cmd library, we need to make sure we nest our project directory, as follows:

Once we have created our nested directory structure, we can start setting up our main program. In our main.go file, we have defined our date command—the main.go function for Cobra and Viper us deliberately simple so that we can...

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