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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

Exploring job queues in Go

Job queues are frequently used to process units of work in a computer system. They are often used to schedule both synchronous and asynchronous functions. While working with larger datasets, there can be data structures and algorithms that take quite a bit of time to process. Either the system is processing a very large segment of data, the algorithm that is being applied to the dataset is very complex, or there's a combination of the two. Being able to add these jobs to a job queue and perform them in a different order or at different times can be very helpful to maintain the stability of a system and give an end user a better experience. Job queues are also frequently used for asynchronous jobs since the time when the job completes isn't as impactful for the end user. The job system can also prioritize the jobs in a priority queue if one...

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