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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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Toc

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

Summary

We started this chapter with a review of the most common different kinds of configuration management strategies, and how they tend to be applied as a project grows. We discussed how the DevOps approach makes teams take ownership of their deployments and helps to fill the traditional gap between development and operations.

We saw how the latest approach called GitOps works very well with a Kubernetes cluster, as the configuration is tightly described as a set of files. We went through the advantages of using Git to track the configuration.

We introduced Flux, a tool that gets deployed inside your cluster and pulls changes from a Git repo branch. We presented an example configuration, deployed it in our local Kubernetes cluster, and configured GitHub to be able to work with it. This enabled any push to our Git branch in GitHub to be reflected in the local cluster.

We ended...

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