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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

Briefing on limited memory situations

If you are running Go on an embedded device or a device with very constrained memory, it's sometimes smart to understand some of the underlying processes within the runtime to make informed decisions regarding your processes. The Go garbage collector prioritizes low latency and simplicity. It uses a non-generational concurrent tri-color mark and sweep garbage collector. By default, it manages memory allocation automatically.

Go has a function in the debug standard library that will force a garbage collection and return memory to the OS. The Go garbage collector returns unused memory to the OS after 5 minutes. If you are running on a low memory device, this function, FreeOSMemory(), can be found here: https://golang.org/pkg/runtime/debug/#FreeOSMemory.

We can also use the GC() function, which can be found here: https://golang.org/pkg/runtime...

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