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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 the tracing format

Go traces can have lots of information and can capture a lot of requests per second. The traces are therefore captured in a binary format. The structure of the trace output is static. In the following output, we can see that the traces follow a specific pattern—they are defined, and events are categorized with a hex prefix and some information about the specific trace event. Looking at this trace format will help us to understand how the events of our traces are stored and retrieved with the tooling that the Go team has made available to us:

Trace = "gotrace" Version {Event} .

Event = EventProcStart | EventProcStop | EventFreq | EventStack | EventGomaxprocs | EventGCStart | EventGCDone | EventGCScanStart | EventGCScanDone | EventGCSweepStart | EventGCSweepDone | EventGoCreate | EventGoStart | EventGoEnd | EventGoStop | EventGoYield...
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