Book Image

Building Serverless Applications with Python

Book Image

Building Serverless Applications with Python

Overview of this book

Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. Many companies have adopted this architecture to save cost and improve scalability. This book will help you design serverless architectures for your applications with AWS and Python. The book is divided into three modules. The first module explains the fundamentals of serverless architecture and how AWS lambda functions work. In the next module, you will learn to build, release, and deploy your application to production. You will also learn to log and test your application. In the third module, we will take you through advanced topics such as building a serverless API for your application. You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references. Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production. By the end of the book, you will be equipped with the knowledge required to build scalable and cost-efficient Python applications with a serverless framework.
Table of Contents (11 chapters)

Creating deployment packages

Lambda functions that have external libraries as dependencies can be packaged as deployment packages and be uploaded into the AWS Lambda console. This is very similar to creating a virtual environment in Python. So in this section, we shall learn and understand the process of creating Python deployment for using in the Lambda functions. We shall try and understand the process of creating deployment packages in detail, as follows:

  1. Deployment packages are generally in the format of ZIP packages. The contents of the ZIP package is exactly the same as a normal library of any programming language.
  2. The package structure should be such that the library folders and the function file are in the same destination or in the same hierarchy inside the folder structure of the deployment package. The layout looks something like this:
  1. The Python libraries can...