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

Setting up Lambda security in the AWS Management Console

We will be signing into the AWS Management Console. The reason we are using the Management Console first is to give you a better understanding of how Lambda functions work, and how they integrate with the other AWS services, such as API Gateway and DynamoDB. In later chapters, we will show you how to deploy Lambda functions using the AWS CLI. If you are a first-timer to Lambda, then I always find it useful to first create a full serverless stack manually in the Management Console to gain a better and deeper understanding than, say, have a magic command spin up the full AWS infrastructure!

We are going to first use the AWS Management Console to create the Lambda IAM role and policies, so that the Lambda function can access DynamoDB, and also write any logs or any statuses to CloudWatch. The Management Console, which we used...