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

Chapter 4

  1. Does increasing the number of deployments reduce the quality of deployments?

No; it has been shown that increasing the number of deployments has a strong correlation with their quality increasing. A system that is capable of deploying quickly has to rely on strong automated tests, which increases the stability and overall quality of the system.

  1. What is a pipeline?

A pipeline is an ordered succession of steps or stages that are used to perform a build. If one of the steps fails, the build stops. The order of steps should aim to maximize the early detection of problems.

  1. How do we know if our main branch can be deployed?

If we automatically run our pipeline to generate a build on each commit, we should detect problems on the main branch as soon as they are committed. The build should assure us that the top commit of the main branch can be deployed. A breakage in the...