📜  kubernetes dashbaord (1)

📅  最后修改于: 2023-12-03 15:17:10.891000             🧑  作者: Mango

Kubernetes Dashboard

Kubernetes Dashboard is a web-based graphical user interface (GUI) for managing and monitoring Kubernetes clusters. It provides an intuitive and easy-to-use interface for developers and operations teams to visualize, troubleshoot, and manage their applications deployed on Kubernetes.

Features

Some of the key features of Kubernetes Dashboard include:

  • Monitoring cluster health and status
  • Viewing and managing Kubernetes resources
  • Deploying and scaling applications
  • Monitoring application performance and logs
  • Troubleshooting issues with the cluster and applications
Installing Kubernetes Dashboard

Kubernetes Dashboard can be installed using the following steps:

  1. Make sure that your cluster is running and you have the appropriate permissions to install Dashboard.

  2. Run the following command to install Dashboard:

kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.4.0/aio/deploy/recommended.yaml
  1. Verify that Dashboard is running by accessing it at:
https://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/
Using Kubernetes Dashboard

Once you have successfully installed and accessed the Kubernetes Dashboard, you can use it to manage and monitor your Kubernetes clusters. Some of the tasks that you can perform using the Dashboard include:

  • Creating, updating, and deleting Kubernetes resources (e.g., Pods, Services, Deployments)
  • Viewing cluster metrics (e.g., CPU and memory usage)
  • Troubleshooting issues with your applications and Kubernetes resources
  • Scaling up and down your applications
Conclusion

Kubernetes Dashboard is a powerful and user-friendly tool for managing and monitoring Kubernetes clusters. With its intuitive interface and rich feature set, it can help you streamline your development and operations workflows, and achieve greater control and visibility over your applications deployed on Kubernetes.