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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

Mapping out the process

The DevOps team had already settled on two different potential solutions for applying GitOps practices to their delivery process. One of the tools, Ansible, is open source and allows the team to achieve their GitOps requirements without any licensing cost. The other tool, Harness, is not an open source tool and requires the company to purchase licenses. Harness also allows the team to achieve continuous delivery with GitOps, and with significantly less setup, configuration, and administration than Ansible.

As the deliberation over whether Harness will be purchased or not continues, the DevOps team is finding that they have less and less time to get their first iteration of the process ready and usable by the other engineers. To make the solution setup and configuration easier, they decide to map out their process, tools, platforms, security requirements, and so on. They know that a cloud platform and their data centers will all need to be supported. The artifacts...

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