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Serverless Design Patterns and Best Practices

Serverless Design Patterns and Best Practices

By : Zambrano
5 (1)
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Serverless Design Patterns and Best Practices

Serverless Design Patterns and Best Practices

5 (1)
By: Zambrano

Overview of this book

Serverless applications handle many problems that developers face when running systems and servers. The serverless pay-per-invocation model can also result in drastic cost savings, contributing to its popularity. While it's simple to create a basic serverless application, it's critical to structure your software correctly to ensure it continues to succeed as it grows. Serverless Design Patterns and Best Practices presents patterns that can be adapted to run in a serverless environment. You will learn how to develop applications that are scalable, fault tolerant, and well-tested. The book begins with an introduction to the different design pattern categories available for serverless applications. You will learn thetrade-offs between GraphQL and REST and how they fare regarding overall application design in a serverless ecosystem. The book will also show you how to migrate an existing API to a serverless backend using AWS API Gateway. You will learn how to build event-driven applications using queuing and streaming systems, such as AWS Simple Queuing Service (SQS) and AWS Kinesis. Patterns for data-intensive serverless application are also explained, including the lambda architecture and MapReduce. This book will equip you with the knowledge and skills you need to develop scalable and resilient serverless applications confidently.
Table of Contents (12 chapters)
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Summary


In this chapter, we reviewed the meaning and high-level details of CI and CD. I also discussed some best practices on how to organize application code in serverless projects to help set up and run unit tests. From there, I covered how to set up our unit tests to run on every commit using CircleCI.

Finally, we worked through the entire process of setting up CircleCI to perform automated deployments triggered by changes to the production branch. You learned some of the nuances of controlling CI execution via environment variables and where to configure sensitive settings such as database passwords and AWS keys.

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