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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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Toc

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

Summary

In this chapter, we discussed generating Go code. We talked about how to do so for one of the most commonly generated pieces of go code, gRPC protobufs. Then, we talked about the using link toolchain to add command-line arguments and spf13/cobra and spf13/viper to create metaprogrammed CLI tooling. Lastly, we talked about templated programming using the text/template, HTML/template, and Sprig libraries. Using all of these packages will help us make readable, reusable, performant Go code. These templates will also save us a lot of work in the long run as they tend to be reusable and scalable.

In the next chapter, we'll discuss how to optimize for memory resource management.

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