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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

Detecting memory leaks in Go

As discussed in the Memory object allocation section of Chapter 8, Memory Management in Go, we have a myriad of tools at our disposal to view the current memory statistics for our currently executing program. In this chapter, we will also learn about profiling using the pprof tool. One of the more common Go memory leaks is the unbounded creation of goroutines. This happens frequently when you overload an unbuffered channel or you have an abstraction with a lot of concurrency spawning new goroutines that don't finish. Goroutines have a very small footprint and systems can often spawn a very large number of them, but they eventually have an upper bound that becomes taxing to find when trying to troubleshoot your program in a production environment.

In the following example, we are going to look at an unbuffered channel that has a leaky abstraction...

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