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.

Title Page

Copyright and Credits

Copyright and Credits

Building Serverless Microservices in Python

About Packt

Dedication

Contributors

About the author

Packt is searching for authors like you

Preface

Who this book is for

What this book covers

To get the most out of this book

Free Chapter

Serverless Microservices Architectures and Patterns

Serverless Microservices Architectures and Patterns

Understanding different architecture types and patterns

Virtual machines, containers, and serverless computing

Overview of microservice integration patterns

Communication styles and decomposition microservice patterns

Serverless computing in AWS

Setting up your serverless environment

Creating Your First Serverless Data API

Creating Your First Serverless Data API

Overview of security in AWS

Securing your serverless microservices

Building a serverless microservice data API

Setting up Lambda security in the AWS Management Console

Creating and writing to a NoSQL database called DynamoDB using AWS

Creating and writing to a NoSQL database called DynamoDB using Python

Creating a Lambda to query DynamoDB

Setting up the API Gateway and integrating it with a Lambda proxy

Connecting API Gateway, Lambda, and DynamoDB

Deploying Your Serverless Stack

Deploying Your Serverless Stack

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

Testing Your Serverless Microservice

Testing Your Serverless Microservice

Unit testing your Python Lambda code

Running and debugging your AWS Lambda code locally

Integration testing using real test data

The AWS Serverless Application Model CLI

Loading and end-to-end testing at scale

Strategies to reduce the API's latency

Securing Your Microservice

Securing Your Microservice

Overview of the security in AWS

Overview of AWS Identity and Access Management (IAM)

Securing your serverless microservice

Summary and Future Work

Summary and Future Work

Other Books You May Enjoy

Other Books You May Enjoy

Leave a review - let other readers know what you think

Customer Reviews

5 star

0

4 star

0

3 star

0

2 star

0

1 star

0

Testing Your Serverless Microservice

In the previous chapter, we created a fully functional serverless data API using API Gateway, Lambda, and DynamoDB, and we deployed it to the AWS CLI. The testing we showed was performed in the AWS Management Console and browser, which is fine for small amounts of simple code development as a proof of concept, but is not recommended for development or production systems.

It is much more efficient for a developer to first develop and test locally, and it is essential for continuous delivery to have automated tests. This chapter is all about testing.

Testing could easily cover a whole book, but we will keep things very practical and focused on testing your serverless code and the data API we deployed in Chapter 3, Deploying Your Serverless Stack. This will include unit testing, mocking, local debugging, integration testing, running the Lambda...