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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

Chapter 11

  1. What are the differences between releasing changes in a microservice architecture system and a monolith?

Releasing a change in a monolith will only involve one repository since the monolith is only one code base. Some changes that are made in a microservice architecture will need us to change two or more microservices so that we can allocate them. This requires more planning and care since we need to ensure that this is properly coordinated. In a properly architecture microservice system, such multirepository changes should be relatively rare since they incur overhead.

  1. Why should release changes be small in a microservice architecture?

The advantage of microservices is that we can release microservices in parallel, which is quicker than a monolith release. However, given that a release in a microservice could potentially affect other microservices, they should work...

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