Book Image

Building Serverless Microservices in Python

By : Richard Takashi Freeman
Book Image

Building Serverless Microservices in Python

By: Richard Takashi Freeman

Overview of this book

Over the last few years, there has been a massive shift from monolithic architecture to microservices, thanks to their small and independent deployments that allow increased flexibility and agile delivery. Traditionally, virtual machines and containers were the principal mediums for deploying microservices, but they involved a lot of operational effort, configuration, and maintenance. More recently, serverless computing has gained popularity due to its built-in autoscaling abilities, reduced operational costs, and increased productivity. Building Serverless Microservices in Python begins by introducing you to serverless microservice structures. You will then learn how to create your first serverless data API and test your microservice. Moving on, you'll delve into data management and work with serverless patterns. Finally, the book introduces you to the importance of securing microservices. By the end of the book, you will have gained the skills you need to combine microservices with serverless computing, making their deployment much easier thanks to the cloud provider managing the servers and capacity planning.
Table of Contents (13 chapters)
Title Page

Deploying Your Serverless Stack

In the previous chapter, we created a fully-functional serverless data API using the API Gateway, Lambda, and DynamoDB with an IAM role, and tested it once it was deployed. However, most of the code and configuration was deployed manually; a process that is prone to error, not repeatable, and not scalable.

In this chapter, we are going to show you how to deploy all that infrastructure using only code and configuration. The topics covered are as follows:

  • An overview of serverless-stack build and deploy options
  • Creating a profile, an S3 bucket, IAM policies, and IAM roles resources
  • Building and deploying with API Gateway, Lambda, and DynamoDB