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Serverless Design Patterns and Best Practices

You're reading from   Serverless Design Patterns and Best Practices Build, secure, and deploy enterprise ready serverless applications with AWS to improve developer productivity

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788620642
Length 260 pages
Edition 1st Edition
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Author (1):
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Brian Zambrano Brian Zambrano
Author Profile Icon Brian Zambrano
Brian Zambrano
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Table of Contents (12) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. A Three-Tier Web Application Using REST 3. A Three-Tier Web Application Pattern with GraphQL 4. Integrating Legacy APIs with the Proxy Pattern 5. Scaling Out with the Fan-Out Pattern 6. Asynchronous Processing with the Messaging Pattern 7. Data Processing Using the Lambda Pattern 8. The MapReduce Pattern 9. Deployment and CI/CD Patterns 10. Error Handling and Best Practices 11. Other Books You May Enjoy

Basics of queuing systems


Queuing systems are by no means new in the world of software. Generally speaking, queues are one of the fundamental data structures most introductory computer science courses cover. Before going any further, let's briefly review the queue as a fundamental data structure in computer science.

Simply put, a queue is a collection of items where new items are pushed onto the back and pulled off the front. Consider that we're all waiting in line for a movie. Provided people follow the rules and don't line up out of order, you've waited in a queue (which is, of course, the reason British English uses queue, which is more accurate than the U.S. term line). Formally, we can define a queue as a collection of items that have the property of first-in-first-out (FIFO). The primary operators of a queue data type areenqueue anddequeue. These operators add new items to the back of the queue and pop items off the front, respectively.

In software, queueing systems such as RabbitMQ...

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