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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

Understanding the description of GitOps

A big traditional problem in operations has been ensuring that the different servers maintain a proper configuration. When you have a fleet of servers, deploying a service and keeping them properly configured is not a straightforward task.

For this chapter, we will use configuration as a way of describing a service and all the required configuration to run it in production. This includes the particular version of the service, but also things such as the underlying infrastructure (OS version, number of servers, and so on) or packages and configuration of the dependent services (load balancers, third-party libraries, and so on).

Configuration management will, therefore, be the way to make changes to that.

Keeping configuration on track in all servers is challenging as the infrastructure grows. The most common change is to deploy a new version...

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