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 looked at the basic concepts of Kubernetes and how it's useful to manage and coordinate multiple containers that contain our microservices.

First, we introduced what Kubernetes is and some of its high-level advantages. Then, we described the different elements that define a cluster in the Kubernetes nomenclature. This included both the physical aspects, where the nodes are the main defining elements, as the abstract aspects, such as the pods, deployments, services, and Ingress, which are the building blocks we need in order to generate a working cluster.

We described kubectl and the common operations we can use to define elements and retrieve information through YAML files. We also described some of the common problems that can arise when handling a Kubernetes cluster.

In the next chapter, we will define the different options we can use in YAML...