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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

Setting up multiple environments

The ease of creating, copying, and removing namespaces under Kubernetes greatly reduces the previous burden of keeping multiple copies of environments to replicate the underlying infrastructure. You can use this to your advantage.

Based on the GitOps principles we mentioned earlier, we can define new namespaces to generate a new cluster. We can either use another branch (for example, use the master branch for the production cluster and demo for the demo cluster) or copy the files containing the cluster definition and change the namespaces.

You can use different physical Kubernetes clusters for different purposes. It's better to leave the production cluster as not being shared with any other environment to reduce risks. However, every other environment could live in the same cluster, which won't affect external customers.

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