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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

What this book covers

Chapter 1, Introduction, covers the basics of serverless systems and discusses when serverless architectures may or may not be a good fit. Three categories of serverless patterns are introduced and briefly explained.

Chapter 2, A Three-Tier Web Application Using REST, walks you through a full example of building a traditional web application using a REST API powered by AWS Lambda, along with serverless technologies for hosting HTML, CSS, and JavaScript for the frontend code.

Chapter 3, A Three-Tier Web Application Pattern with GraphQL, introduces GraphQL and explains the changes needed to turn the previous REST API into a GraphQL API.

Chapter 4, Integrating Legacy APIs with the Proxy Pattern, demonstrates how it's possible to completely change an API contract while using a legacy API backend using nothing other than AWS API Gateway.

Chapter 5, Scaling Out with the Fan-Out Pattern, teaches you one of the most basic serverless patterns around, where a single event triggers multiple parallel serverless functions, resulting in quicker execution times over a serial implementation.

Chapter 6, Asynchronous Processing with the Messaging Pattern, explains different classes of messaging patterns and demonstrates how to put messages onto a queue using a serverless data producer, and process those messages downstream with a serverless data consumer.

Chapter 7, Data Processing Using the Lambda Pattern, explains how you can use multiple subpatterns to create two planes of computation, which provide views into historical aggregated data as well as real-time data.

Chapter 8, The MapReduce Pattern, explores an example implementation of aggregating large volumes of data in parallel, similar to the way systems such as Hadoop work.

Chapter 9, Deployment and CI/CD Patterns, explain how to set up Continuous Integration and Continuous Delivery for serverless projects and what to keep in mind when doing so, in addition to showing examples of continuous deployment.

Chapter 10, Error Handling and Best Practices, reviews the tools and techniques for automatically tracking unexpected errors as well as several best practices and tips when creating serverless applications.

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