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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
2. Making the Move – Design, Plan, and Execute FREE CHAPTER 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

Implementing multiple services

In the GitHub repo, you can find the three microservices that we will be using in this chapter. They are based on the monolith introduced in Chapter 1, Making the Move – Design, Plan, and Execute, and are split into three elements:

  • Thoughts Backend: As described in the previous chapter, this handles the storage of thoughts and the search for them.
  • Users Backend: This stores the users and allows them to log in. Based on the description of the authentication method, this creates a token that can be used to authenticate against other systems.
  • Frontend: This comes from the monolith, but instead of accessing a database directly, it makes requests to the User and Thoughts Backends to replicate the functionality.
Note that the static files are still being served by the Frontend, even though we described the final stage of the cluster serving them...
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