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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

Understanding benchmarking

Metrics and measurement are at the root of optimization. The adage You can't improve what you can't measure rings true with performance. To be able to make intelligent decisions about performance optimizations, we must continuously measure the performance of the functions we are trying to optimize.

As we mentioned in Chapter 1, Introduction to Performance in Go, the Go creators made performance a forethought in their language design. The Go testing package (https://golang.org/pkg/testing/) is used to test Go code in a systematic way. The testing package is a fundamental part of the Go language. This package also includes a helpful built-in benchmarking functionality. This functionality, which is invoked by go test -bench, runs the benchmarks that you've defined for your functions. The results from your tests can also be saved and viewed...

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