Book Image

Python Microservices Development

Book Image

Python Microservices Development

Overview of this book

We often deploy our web applications into the cloud, and our code needs to interact with many third-party services. An efficient way to build applications to do this is through microservices architecture. But, in practice, it's hard to get this right due to the complexity of all the pieces interacting with each other. This book will teach you how to overcome these issues and craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: you’ll build everything using Python 3 and its amazing tooling ecosystem. You will understand the principles of TDD and apply them. You will use Flask, Tox, and other tools to build your services using best practices. 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. You will also familiarize yourself with Docker’s role in microservices, and use Docker containers, CoreOS, and Amazon Web Services to deploy your services. This book will take you on a journey, ending with the creation of a complete Python application based on microservices. By the end of the book, you will be well versed with the fundamentals of building, designing, testing, and deploying your Python microservices.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction

A microservice skeleton


So far in this chapter, we've looked at how Flask works, and at most of the built-in features it provides--and we will be using them throughout this book.

One topic we have not covered yet is how to organize the code in your projects, and how to instantiate your Flask app. Every example so far used a single Python module and the app.run() call to run the service.

Having everything in a module is, of course, a terrible idea unless your code is just a few lines. And since we will want to release and deploy the code, it's better to have it inside a Python package so that we can use standard packaging tools like Pip and Setuptools.

It's also a good idea to organize views into blueprints, and have one module per blueprint.

Lastly, the run() call can be removed from the code, since Flask provides a generic runner that looks for an app variable given a module pointed by the FLASK_APP environment variable. Using that runner offers extra options like the ability to configure the...