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Hands-On Docker for Microservices with Python

You're reading from   Hands-On Docker for Microservices with Python Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838823818
Length 408 pages
Edition 1st Edition
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Microservices FREE CHAPTER
2. Making the Move – Design, Plan, and Execute 3. Section 2: Designing and Operating a Single Service – Creating a Docker Container
4. Creating a REST Service with Python 5. Build, Run, and Test Your Service Using Docker 6. Creating a Pipeline and Workflow 7. Section 3:Working with Multiple Services – Operating the System through Kubernetes
8. Using Kubernetes to Coordinate Microservices 9. Local Development with Kubernetes 10. Configuring and Securing the Production System 11. Using GitOps Principles 12. Managing Workflows 13. Section 4: Production-Ready System – Making It Work in Real-Life Environments
14. Monitoring Logs and Metrics 15. Handling Change, Dependencies, and Secrets in the System 16. Collaborating and Communicating across Teams 17. Assessments 18. Other Books You May Enjoy

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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