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Python Microservices Development

Python Microservices Development

By : Tarek Ziadé
4 (5)
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Python Microservices Development

Python Microservices Development

4 (5)
By: Tarek Ziadé

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)
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Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction

Using pytest and Tox


So far, all the tests we have written used ;unittest.TestCase classes and unittest.main() to run them. As your project grows, you will have more and more tests modules around.

To automatically discover and run all the tests in a project, the unittest package has introduced a Test Discovery feature in Python 3.2, which finds and runs tests given a few options. This feature has been around for a while in projects like Nose (https://nose.readthedocs.io) and pytest, and that's what inspired the unittest package in the standard library.

Which runner to use is a matter of taste, and as long as you stick to writing your tests in TestCase classes, your tests will be compatible with all of them.

That said, the pytest project is very popular in the Python community, and since it offers extensions, people have started to write useful tools around it. Its runner is also quite efficient, as it starts to run the tests while they are still discovered in the background, making it a little...

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