Book Image

Python Microservices Development – 2nd edition - Second Edition

By : Simon Fraser, Tarek Ziadé
Book Image

Python Microservices Development – 2nd edition - Second Edition

By: Simon Fraser, Tarek Ziadé

Overview of this book

The small scope and self-contained nature of microservices make them faster, cleaner, and more scalable than code-heavy monolithic applications. However, building microservices architecture that is efficient as well as lightweight into your applications can be challenging due to the complexity of all the interacting pieces. Python Microservices Development, Second Edition will teach you how to overcome these issues and craft applications that are built as small standard units using proven best practices and avoiding common pitfalls. Through hands-on examples, this book will help you to build efficient microservices using Quart, SQLAlchemy, and other modern Python tools In this updated edition, you will learn how to secure connections between services and how to script Nginx using Lua to build web application firewall features such as rate limiting. Python Microservices Development, Second Edition describes how to use containers and AWS to deploy your services. By the end of the book, you’ll have created a complete Python application based on microservices.
Table of Contents (14 chapters)
Other Books You May Enjoy

Splitting the Monolith

In the previous chapter, we created a monolithic application to serve as an assistant; we did so rapidly, concentrating on adding features rather than long-term architecture. There is nothing wrong with that approach—after all if the application never needs to scale up then the engineering effort is wasted.

But let us assume that our service is very popular, and the number of requests it receives is growing. We now have to make sure it performs well under load, and also ensure that it is easy to maintain for a growing team of developers. How should we proceed from here? In this chapter, we will:

  • Examine how to identify the best components to migrate to a new microservice based on code complexity and data we collect about usage
  • Show techniques for preparing and performing that migration, as well as checking on its success