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Edge Computing Systems with Kubernetes

You're reading from   Edge Computing Systems with Kubernetes A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568594
Length 458 pages
Edition 1st Edition
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Author (1):
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Sergio Mendez Sergio Mendez
Author Profile Icon Sergio Mendez
Sergio Mendez
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Edge Computing Basics
2. Chapter 1: Edge Computing with Kubernetes FREE CHAPTER 3. Chapter 2: K3s Installation and Configuration 4. Chapter 3: K3s Advanced Configurations and Management 5. Chapter 4: k3OS Installation and Configurations 6. Chapter 5: K3s Homelab for Edge Computing Experiments 7. Part 2: Cloud Native Applications at the Edge
8. Chapter 6: Exposing Your Applications Using Ingress Controllers and Certificates 9. Chapter 7: GitOps with Flux for Edge Applications 10. Chapter 8: Observability and Traffic Splitting Using Linkerd 11. Chapter 9: Edge Serverless and Event-Driven Architectures with Knative and Cloud Events 12. Chapter 10: SQL and NoSQL Databases at the Edge 13. Part 3: Edge Computing Use Cases in Practice
14. Chapter 11: Monitoring the Edge with Prometheus and Grafana 15. Chapter 12: Communicating with Edge Devices across Long Distances Using LoRa 16. Chapter 13: Geolocalization Applications Using GPS, NoSQL, and K3s Clusters 17. Chapter 14: Computer Vision with Python and K3s Clusters 18. Chapter 15: Designing Your Own Edge Computing System 19. Index 20. Other Books You May Enjoy

Understanding ingress controllers

Kubernetes uses ingress controllers to expose your deployments outside the cluster. An ingress controller is the adaptation of a proxy to expose your applications, and Ingress is the Kubernetes object that uses this adaptation. An ingress controller works as a reverse proxy like NGINX to expose your application using HTTP/HTTPS protocols to a load balancer. This load balancer is the endpoint to expose your application outside the cluster. It’s in charge of receiving and controlling traffic for your application. The benefit of this is that you can share this load balancer, to expose as many applications as you want, but using all the features that your ingress controller provides. There are different ingress controller implementations, such as NGINX, Traefik, Emissary, and Envoy.

Taking as a reference Figure 6.1, to expose your application, you must create a ClusterIP service that creates an internal DNS name for your Deployment or Pod. This...

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