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)

Summary

In this chapter, we have learned the concepts of how triggers work for AWS Lambda and how to select triggers depending on the problem statement and time intervals, in case of cron job triggers. We understood what Lambda functions are, along with understanding their functionalities and settings related to memory, VPCs, security, and fault tolerance. We also learned about the way container reuse is done under the hood specifically for AWS Lambda. Then, we covered event-driven functions and how they are implemented under the hood, the concept of containers, and their uses and applications in the domain of software engineering in general. Most importantly, from the concepts we learned regarding containers, we can now appreciate the options for choosing containers for running the Lambda functions.

After that, we talked about all the configuration settings available in the AWS...