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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

Testing observability and traffic splitting with Linkerd

Now, it’s time to test the observability. To start exploring the dashboard and see the observability, follow the given steps:

  1. Open your dashboard by running the following command:
    $ linkerd viz dashboard

This will automatically open the dashboard to the URL http://localhost:50750.

The dashboard will look as in the following screenshot:

Figure 8.5 – Linkerd dashboard

To load the right information, select the MYAPPS namespace in the combo box in the left sidebar, and then click on the Deployments icon to load the HTTP Metrics and TCP Metrics information.

To see similar information as the previous dashboard, execute the following command to start sending traffic to our deployment:

$ ENDPOINT=$(kubectl get svc nginx-ingress-ingress-nginx-controller --output jsonpath='{.status.loadBalancer.ingress[0].ip}' -n nginx-ingress)
$ while true; do curl http://$ENDPOINT...
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