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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
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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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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

GitOps – what and why

One of the major issues when adopting any new process is the ability to implement that process effectively and efficiently. The importance and impact of the process will directly correlate to the amount of time and effort required. But for the DevOps team, they were needing to implement both a GitOps practice and a new tool. And to add to the difficulty of a parallel implementation process, the team had to figure out the best scaling process for their applications.

In the case of Kubernetes and Hem charts, one of the major issues is manifest sprawl, which the DevOps team had experienced before. Their current hurdle was figuring out how best to manage and maintain that manifest sprawl when many of the applications are moving to containers and Kubernetes. The typical solution is to have a Git repository of many different Helm charts, one for each microservice, and have the teams maintain them. But that explosion of Helm charts would bring with it a massive...

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