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 how to scale up our serverless architecture(s) to being massively distributed serverless infrastructure(s). We have learned how to build on our existing knowledge of building and deploying Lambda infrastructures to handle massive workloads.

We have learned to use the concept of nohup to use our Lambda function as a launch board for building a master-worker architecture that takes parallel computing into account. We have learned how to leverage configuration and orchestration tools, such as Ansible and Chef, to spawn and orchestrate multiple EC2 instances.

The knowledge gained from this chapter will open doors for building many complex infrastructures which can handle data and requests, both in terms of size and speed. This will allow you to operate multiple microservices closely intertwined together. This will also help you to build MapReduce...