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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 queues

A queue is a pattern that is frequently used in computer science to implement a first in first out (FIFO) data buffer. The first thing to come into the queue is also the first thing to leave. This happens in an ordered fashion in order to process sorted data. Adding things to the queue is known as enqueueing the data into the queue, and removing it from the end of the queue is known as dequeuing. Queues are commonly used as a fixture in which data is stored and processed at another time.

Queues are beneficial because they don't have a fixed capacity. A new element can be added to the queue at any time, which makes a queue an ideal solution for asynchronous implementations such as a keyboard buffer or a printer queue. Queues are used in situations where tasks must be completed in the order that they were received, but when real-time occurs, it may not be possible...

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