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

An overview of serverless stack build and deploy options

In this section, we will discuss the challenges in manually provisioning infrastructure, infrastructure as code, building and deploying using the serverless application model, and building and deploying using the alternative options.

Manually provisioning infrastructure

The challenge of provisioning infrastructure is that it used to be a very manual process. For example, administrators would follow the steps described in a manual by clicking items on a user interface, running a set of commands, or logging into the servers and editing configuration files. This became more and more challenging with the growth of cloud computing and web frameworks that started to scale out. This...