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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

Comparing Code Quality Across Versions

After you've written, debugged, profiled, and monitored your Go code, you need to monitor your application in the long term for performance regressions. Adding new features to your code is useless if you can't continue to deliver a level of performance that other systems in your infrastructure depend on.

In this chapter, we will learn about the following topics:

  • Utilizing the Go Prometheus exporter
  • Application performance monitoring (APM) tools
  • Service-level indicators and service-level objectives (SLIs and SLOs)
  • Utilizing logging

Understanding these concepts should help drive you to write performant code over the longer term. When working on larger-scale projects, work often doesn't scale well. Having 10 times the number of engineers often does not guarantee 10 times the output. Being able to programmatically quantify code...

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