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Cloud Native with Kubernetes

You're reading from   Cloud Native with Kubernetes Deploy, configure, and run modern cloud native applications on Kubernetes

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Product type Paperback
Published in Jan 2021
Publisher Packt
ISBN-13 9781838823078
Length 446 pages
Edition 1st Edition
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Author (1):
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Alexander Raul Alexander Raul
Author Profile Icon Alexander Raul
Alexander Raul
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Setting Up Kubernetes
2. Chapter 1: Communicating with Kubernetes FREE CHAPTER 3. Chapter 2: Setting Up Your Kubernetes Cluster 4. Chapter 3: Running Application Containers on Kubernetes 5. Section 2: Configuring and Deploying Applications on Kubernetes
6. Chapter 4: Scaling and Deploying Your Application 7. Chapter 5: Services and Ingress – Communicating with the Outside World 8. Chapter 6: Kubernetes Application Configuration 9. Chapter 7: Storage on Kubernetes 10. Chapter 8: Pod Placement Controls 11. Section 3: Running Kubernetes in Production
12. Chapter 9: Observability on Kubernetes 13. Chapter 10: Troubleshooting Kubernetes 14. Chapter 11: Template Code Generation and CI/CD on Kubernetes 15. Chapter 12: Kubernetes Security and Compliance 16. Section 4: Extending Kubernetes
17. Chapter 13: Extending Kubernetes with CRDs 18. Chapter 14: Service Meshes and Serverless 19. Chapter 15: Stateful Workloads on Kubernetes 20. Assessments 21. Other Books You May Enjoy

Understanding options for template code generation on Kubernetes

As discussed in Chapter 1, Communicating with Kubernetes, one of the greatest strengths of Kubernetes is that its API can communicate in terms of declarative resource files. This allows us to run commands such as kubectl apply and have the control plane ensure that whatever resources are running in the cluster match our YAML or JSON file.

However, this capability introduces some unwieldiness. Since we want to have all our workloads declared in configuration files, any large or complex applications, especially if they include many microservices, could result in a large number of configuration files to write and maintain.

This issue is further compounded with multiple environments. Say we want development, staging, UAT, and production environments, this would require four separate YAML files per Kubernetes resource, assuming we wanted to maintain one resource per file for cleanliness.

One way to fix these issues...

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