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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 Pod drawbacks and their solutions

As we reviewed in the previous chapter, Chapter 3, Running Application Containers on Kubernetes, a Pod in Kubernetes is an instance of one or more application containers that run on a node. Creating just one Pod is enough to run an application the same way you would in any other container.

That being said, using a single Pod to run an application ignores many of the benefits of running containers in the first place. Containers allow us to treat each instance of our application as a stateless item that can be scaled up or down to meet demand by spinning up new instances of the application.

This has the benefits of both allowing us to scale our application easily and making our application more available by providing multiple instances of our application at a given time. If one of our instances crashes, the application will still continue to function, and will automatically scale to pre-crash levels. The way we do this on Kubernetes...

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