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

Chapter 12. What Next?

  • The operating system used to deploy your applications
  • The availability of the libraries your application used

One extreme example of how the operating system influences this decision is when CentOS is used. CentOS is really close to Red Hat Enterprise Linux (RHEL) minus the commercial support, and many companies that started off with RHEL and grew internal teams, ended up moving to CentOS. There are a lot of good reasons to use CentOS. This Linux distribution is popular and based on a robust set of management tools.

However, using CentOS means you cannot use the latest Python version for your projects unless you install a custom Python instance on the system. Moreover, that is often considered to be bad practice from an Ops point of view because you go out of the supported versions. For that reason, some developers were forced to use 2.6 for a very long time, and that prevented them from using the newest Python syntax and features.

The other reason people stayed on Python...