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Hands-On Docker for Microservices with Python

Hands-On Docker for Microservices with Python

By : Jaime Buelta
3.8 (5)
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Hands-On Docker for Microservices with Python

Hands-On Docker for Microservices with Python

3.8 (5)
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)
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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

Designing the RESTful API

We will follow the principles of RESTful design for our API. This means we will use constructed URIs that represent resources and then use the HTTP methods to perform actions over these resources.

In this example, we will only use the GET (to retrieve), POST (to create), and DELETE (to delete) methods as the thoughts are not editable. Remember that PUT (to overwrite completely) and PATCH (to perform a partial update) are also available.

One of the main properties of RESTful APIs is that requests need to be stateless, which means that each request is totally self-contained and can be served by any server. All the required data should be either at the client (that will send it attached to the request) or in a database (so the server will retrieve it in full). This property is a hard requirement when dealing with Docker containers, as they can be destroyed...

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