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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

SLIs and SLOs – setting goals

SLIs and SLOs are two paradigms that were brought to the computer science world by Google. They are defined in the SRE workbook
(https://landing.google.com/sre/sre-book/chapters/service-level-objectives/) and are an excellent way to measure actionable items within your computing system. These measurements normally follow Google's four golden signals:

  • Latency: The amount of time a request takes to complete (usually measured in milliseconds)
  • Traffic: The volume of traffic that your service is receiving (usually measured in requests per second)
  • Errors: The percentage of failed requests over total requests (usually measured with a percentage)
  • Saturation: The measure of hardware saturation (usually measured by queued request counts)

These measurements can then be used to create one or more SLAs. These are frequently delivered to customers...

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