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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

JSON file building

With the cloud infrastructure team using Terraform already, the DevOps team would be able to leverage some of their expertise in enabling the rest of the engineering organization on the structure of JSON. Although the XML training would be easy and lightweight, the JSON training would have an effect on the actual tooling for the delivery and deployment processes. The DevOps team had also planned on giving the engineers the ability to leverage either JSON or YAML for their configuration files, allowing the tool to do the conversion and application work for them. Currently, Ansible and Harness do not have this capability, meaning that the DevOps team would need to build or leverage an intermediate tool that converts the files into the desired language types for native consumption.

The first step in the JSON training is deciding how the different teams will build out their files, whether each team will have their own or one main file will be shared across a whole...

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