Book Image

Hands-On Docker for Microservices with Python

By : Jaime Buelta
Book Image

Hands-On Docker for Microservices with Python

By: Jaime Buelta

Overview of this book

Microservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel. This book guides you on how to develop these complex systems with the help of containers. You’ll start by learning to design an efficient strategy for migrating a legacy monolithic system to microservices. You’ll build a RESTful microservice with Python and learn how to encapsulate the code for the services into a container using Docker. While developing the services, you’ll understand how to use tools such as GitHub and Travis CI to ensure continuous delivery (CD) and continuous integration (CI). As the systems become complex and grow in size, you’ll be introduced to Kubernetes and explore how to orchestrate a system of containers while managing multiple services. Next, you’ll configure Kubernetes clusters for production-ready environments and secure them for reliable deployments. In the concluding chapters, you’ll learn how to detect and debug critical problems with the help of logs and metrics. Finally, you’ll discover a variety of strategies for working with multiple teams dealing with different microservices for effective collaboration. By the end of this book, you’ll be able to build production-grade microservices as well as orchestrate a complex system of services using containers.
Table of Contents (19 chapters)
Free Chapter
1
Section 1: Introduction to Microservices
3
Section 2: Designing and Operating a Single Service – Creating a Docker Container
7
Section 3:Working with Multiple Services – Operating the System through Kubernetes
13
Section 4: Production-Ready System – Making It Work in Real-Life Environments

Creating a Pipeline and Workflow

A pipeline that runs automatically in a workflow, through different stages, will detect problems early and help your team collaborate in the most efficient way.

In this chapter, we will follow continuous integration practices, running the pipeline automatically and on every change, to be sure that all our code follows high quality standards, and that it runs and passes all tests. We'll also get a container ready to go to production.

We will see how to leverage tools such as GitHub and Travis CI to create images with minimal intervention.

In this chapter, we will be covering the following topics:

  • Understanding continuous integration practices
  • Configuring Travis CI
  • Configuring GitHub
  • Pushing Docker images from Travis CI

By the end of the chapter, you'll know how to automatically run tests on every code change and how to create a safety...