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)

Scaling Up Serverless Architectures

So far, we have learned how to build, monitor, and log serverless functions. In this chapter, we will be learning concepts and engineering techniques that will help scale up serverless applications to be distributed, and that will also enable them to handle heavy workloads with high standards of security and throughput. In this chapter, we will also use some third-party tools, such as Ansible, to scale up our Lambda functions. We will be scaling up our Lambda functions to spawn a distributed serverless architecture, which will involve spawning multiple servers (or instances in the AWS environment). You therefore need to keep that in mind while following the examples mentioned in this chapter.

This chapter assumes a working knowledge of a provisioning tool, such as Ansible, Chef, and so on. You can quickly read up on or refresh your knowledge...