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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

Data layer

It's safe to say that most web applications today have some data store, whether it's a relational database (PostgreSQL, MySQL, SQLServer, and so on), a non-relational database (MongoDB, Redis, Cassandra, and so on), or even static file storage (S3, OS filesystem, and so on).

AWS RDS service will manage a PostgreSQL database for our coffee cupping application. RDS offers different RDBMS choices, most notably PostgreSQL, MySQL, Oracle, and SQLServer. There are other choices, and I encourage you to take a look at the various offerings. For this exercise, we'll be using a standard PostgreSQL database hosted on RDS. Many configuration options come with RDS, which we won't cover. Just know that it's possible and quite simple to run, configure, and manage a high-availability RDBMS instance using RDS. Other PaaS providers offer similar services for...

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