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
Dedication

Creating and writing to a NoSQL database called DynamoDB using AWS

We are going to look at creating a DynamoDB table, writing data to the table from hardcoded values, writing data records from a file, and then we are going to show two different ways to query a table:

Creating a DynamoDB in AWS

The following steps show how to create a DynamoDB:

  1. You need to sign in to the AWS Management Console first and then open the AWS DynamoDB console at https://console.aws.amazon.com/dynamodb/.
  2. Choose Create table or, in the DynamoDB navigation pane, choose Tables and choose Create table.
  3. In the Create DynamoDB Table window, perform the following steps:
    1. Under Table name, type user-visits
    2. In Primary key for Partition key, type EventId and...