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

Summary

In this chapter, we presented continuous integration practices and explored how Docker helps to implement them. We also looked at how to design a pipeline that ensures that our code always follows high standards and detects deviations as soon as possible. Using Git branches and pull requests in GitHub plays along with this, as we can determine when the code is ready to be merged into the main branch and deployed.

We then introduced Travis CI as a great tool to work with alongside GitHub to achieve continuous integration, and discussed its features. We learned how to create a pipeline in Travis CI, from the creation of the .travis.yml file, how to configure jobs, how to make the build push a validated Docker image to our Docker registry, and how to be notified.

We described how to speed up running sections in parallel, as well as how to set values as secrets. We also configured...