Buelta - Hands-On Docker for Microservices with Python

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First published: November 2019

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Jaime Buelta has been a professional programmer since 2002 and a full-time Python developer since 2010. He has developed software for a variety of fields, focusing, in the last 10 years, on developing web services in Python in the gaming and finance industries. He has seen first hand the revolution of containerization for backend services over the years and has seen how they can improve the development process. He published his first book, Python Automation Cookbook, in 2018. He is a strong proponent of automating everything to make computers do most of the heavy lifting so that users can focus on the important stuff. He is currently living in Dublin, Ireland, and is a regular speaker at PyCon Ireland.

Sean O'Donnell is a software architect with 19 years of industry experience. He specializes in web applications and systems architecture. Sean has worked on everything from parking meters to Triple A (AAA) games. He is a particular fan of the Python language, ecosystem, and community, and is the founder of Python Ireland. In his spare time, he collects and restores vintage and antique hand tools. Sean lives and works in Dublin, Ireland, with his wonderful fianc and their three awesome children.

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The evolution of software means that systems are getting bigger and more complex, making some of the traditional techniques for dealing with them ineffective. The microservice architecture has gained traction in recent years as an effective technique for dealing with complex web services and allowing more people to work on the same system without interfering with one another. In a nutshell, it creates small web services where each one solves a specific problem, and they all coordinate together through well-defined APIs.

In this book, we will explain in detail the microservice architecture and how to successfully run it, enabling you to understand the architecture at a technical level as well as understand the implications of the architecture for teams and their workloads .

For the technical aspects, we will use well-tailored tools, including the following:

• Python, to implement RESTful web services
• Git source control, to track the changes in an implementation, and GitHub, to share those changes
• Docker containers, to standardize the operation of each of the microservices
• Kubernetes, to coordinate the execution of multiple services
• Cloud services, such as Travis CI or AWS, to leverage existing commercial solutions to problems

We will also cover practices and techniques for working effectively in a microservice-oriented environment, the most prominent being the following:

• Continuous integration, to ensure that services are of a high quality and ready to be deployed