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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

Building and Deploying Go Code

Once we have come up with a method to write performant Go code, we need to ship it, validate it, and continue iterating it. The first step of this process is to deploy the new Go code. Go's code is compiled into binaries, which allows for the modular deployment of new Go code as we iterate through code development. We can push this out to one or multiple places in order to test against different environments. Doing this will allow us to optimize our code to fully utilize the throughput that will be available to us in our system.

In this chapter, we will learn all about the Go build process. We'll look at how the Go compiler builds binaries, and we'll use this knowledge to build right-sized, optimized binaries for the platform at hand. We will cover the following topics:

  • Building Go binaries
  • Using go clean to remove object files
  • Using...
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