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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

Using sidecar proxies

As we mentioned earlier in this book, a sidecar is a pattern where a Pod contains another container in addition to the actual application container to be run. This additional "extra" container is the sidecar. Sidecars can be used for a number of different reasons. Some of the most popular uses for sidecars are monitoring, logging, and proxying.

For logging, a sidecar container can fetch application logs from the application container (since they can share volumes and communicate on localhost), before sending the logs to a centralized logging stack, or parsing them for the purpose of alerting. It's a similar story for monitoring, where the sidecar Pod can track and send metrics about the application Pod.

With a sidecar proxy, when requests come into the Pod, they first go to the proxy container, which then routes requests (after logging or performing other filtering) to the application container. Similarly, when requests leave the application...

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