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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

Writing the logic layer

Adding this GraphQL endpoint will consist of the following:

  • Adding a new entry point to handle the new Lambda function
  • Passing the HTTP payload (which is a GraphQL query or mutation) to a function that will execute GraphQL code

Admittedly, GraphQL is new enough that libraries and the ecosystem are not entirely polished or rich with documentation, at least in my experience. Still, it's possible to make quick progress, and once the basics are solved, GraphQL by its nature enables a vast range of functionality.

Since the coffee cupping example application is implemented using Python, we will continue down that path and augment it with some additional libraries for GraphQL. At the time of writing, Graphene is the de facto library for working with GraphQL from Python. Along with the base library, there are several other libraries that make working with...

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