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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

Scaling Out with the Fan-Out Pattern

The next turn in our serverless journey takes us away from web-centric patterns and towards those suitable for a variety of problems, web and otherwise. In this chapter, we'll discuss the fan-out pattern, which may be used in many different contexts, either by itself as a standalone system or within a larger project as a sub-unit. Conceptually, the fan-out pattern is precisely what it sounds like—one serverless entry point results in multiple invocations of downstream systems. Big data platforms and computer science algorithms have been using this trick for a very long time; by taking a sizable computational problem and breaking it into smaller pieces, a system can get to the result faster by working on those smaller pieces concurrently. Conceptually, this is precisely how MapReduce works in the mapping step. 

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