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Repeatability, Reliability, and Scalability through GitOps

You're reading from   Repeatability, Reliability, and Scalability through GitOps Continuous delivery and deployment codified

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781801077798
Length 292 pages
Edition 1st Edition
Tools
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Author (1):
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Bryan Feuling Bryan Feuling
Author Profile Icon Bryan Feuling
Bryan Feuling
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Fundamentals of GitOps
2. Chapter 1: The Fundamentals of Delivery and Deployment FREE CHAPTER 3. Chapter 2: Exploring Common Industry Delivery and Deployment Practices 4. Chapter 3: The "What" and "Why" of GitOps 5. Section 2: GitOps Types, Benefits, and Drawbacks
6. Chapter 4: The Original GitOps – Continuous Deployment in Kubernetes 7. Chapter 5: The Purist GitOps – Continuous Deployment Everywhere 8. Chapter 6: Verified GitOps – Continuous Delivery Declaratively Defined 9. Chapter 7: Best Practices for Delivery, Deployment, and GitOps 10. Section 3: Hands-On Practical GitOps
11. Chapter 8: Practicing the Basics – Declarative Language File Building 12. Chapter 9: Originalist Gitops in Practice – Continuous Deployment 13. Chapter 10: Verified GitOps Setup – Continuous Delivery GitOps with Harness 14. Chapter 11: Pitfall Examples – Experiencing Issues with GitOps 15. Chapter 12: What's Next? 16. Other Books You May Enjoy

Declarative execution and declarative state

To start the groundwork for the GitOps process, the teams had to understand what repository structure the different teams were using. GitOps tools tie individual Git repository branches to specific environments. Since the developers are deploying to three or four environments, the GitOps tool of choice would need to be configured to support these environments. Adding to this requirement, the deployment pipeline needed to sequentially deploy to the different environments. The DevOps teams would need to figure out how best to trigger the deployments automatically.

The next major step was to get the correct pull request approval process to be executed. This would allow the Kubernetes manifests in one branch to merge with the Kubernetes manifests in another branch to trigger the deployment. The linking of the tool in the right cluster to the desired repository branch would need to be automated leveraging the GitOps tooling API, effectively...

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