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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

Understanding continuous integration practices

Continuous integration (usually abbreviated as CI) is a series of software engineering practices that ensure that code is always in a working state.

The term continuous integration comes from historically having to integrate software frequently, often multiple times a day. This arose from the fact that developers worked with local code that was not necessarily joined with other people's code automatically. Nowadays, using a source-control versioning software such as Git makes some of the elements automatically available.

Continuous integration emphasizes on having potentially releasable code at all times. This makes releases possible very often, with small increments of code.

Making more releases more often actually generates an increase in the quality of each release. More deployments also mean that each deployment is smaller...
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