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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 the difference between volumes and persistent volumes

A completely stateless, containerized application may only need disk space for the container files themselves. When running applications of this type, no additional configuration is required on Kubernetes.

However, this is not always true in the real world. Legacy apps that are being moved to containers may need disk space volumes for many possible reasons. In order to hold files for use by containers, you need the Kubernetes volume resource.

There are two main storage resources that can be created in Kubernetes:

  • Volumes
  • Persistent volumes

The distinction between the two is in the name: while volumes are tied to the lifecycle of a particular Pod, persistent volumes stay alive until deleted and can be shared across different Pods. Volumes can be handy in sharing data across containers within a Pod, while persistent volumes can be used for many possible advanced purposes.

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