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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

Using NGINX to expose your applications

It’s time to start using NGINX as your ingress controller. We are going to expose your first application using NGINX. To begin, let’s deploy a simple application. To do this, follow the given steps:

  1. Create a simple deployment using nginx image with the following command:
    $ kubectl create deploy myapp --image=nginx
  2. Create a ClusterIP service for the myapp deployment:
    $ kubectl expose deploy myapp --type=ClusterIP --port=80
  3. Create an Ingress using the domain 192.168.0.240.nip.io. In this example, we are assuming that the endpoint for the ingress is 192.168.0.240. This is the same IP as the load balancer created by the ingress controller. When you access your browser, the page https://192.168.0.241.nip.io is going to show the NGINX myapp Deployment, which you have already created. nip.io is a wildcard DNS for any IP address, so with this, you can get a free kind of domain to play with your ingress definitions. Let’...
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