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How to monitor cluster resources using Kubernetes Dashboard?

QuestionsQuestions8 SkillsKubernetes Dashboard ManagementSep, 23 2024
0401

Monitoring Cluster Resources Using Kubernetes Dashboard

The Kubernetes Dashboard is a web-based user interface that allows you to manage and monitor your Kubernetes cluster resources. It provides a visual representation of your cluster's health, resource utilization, and workloads, making it easier to understand and manage your Kubernetes environment.

Accessing the Kubernetes Dashboard

To access the Kubernetes Dashboard, you need to have a running Kubernetes cluster and the necessary permissions to access the dashboard. Typically, you can access the dashboard by running the following command:

kubectl proxy

This command will start a proxy server that allows you to access the Kubernetes Dashboard at http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/.

Alternatively, you can use the kubectl command to open the dashboard in your default web browser:

kubectl dashboard

Monitoring Cluster Resources

Once you have access to the Kubernetes Dashboard, you can use it to monitor your cluster's resources. The dashboard provides several views and metrics that you can use to understand the state of your cluster:

  1. Cluster Overview: This view provides a high-level overview of your cluster, including the number of nodes, pods, and other resources. You can also see the overall resource utilization, such as CPU and memory usage.

  2. Node List: This view shows a list of all the nodes in your cluster, along with their resource usage, status, and other relevant information.

  3. Namespace List: This view displays a list of all the namespaces in your cluster, along with the number of resources (pods, services, deployments, etc.) in each namespace.

  4. Workloads: This view shows a list of all the workloads (deployments, stateful sets, daemon sets, etc.) running in your cluster, along with their resource usage and status.

  5. Storage: This view provides information about the persistent volumes and storage classes used in your cluster.

  6. Network: This view displays information about the services and ingresses in your cluster, including their endpoints and external IP addresses.

  7. Logs: This view allows you to view the logs of your pods, which can be useful for troubleshooting and debugging.

To monitor specific resources, you can navigate to the corresponding view in the Kubernetes Dashboard and explore the available metrics and visualizations. For example, in the "Node List" view, you can see the CPU and memory usage of each node, as well as other relevant information like the node's age, labels, and conditions.

Mermaid Diagram: Kubernetes Dashboard Overview

graph TD A[Kubernetes Cluster] --> B[Kubernetes Dashboard] B --> C[Cluster Overview] B --> D[Node List] B --> E[Namespace List] B --> F[Workloads] B --> G[Storage] B --> H[Network] B --> I[Logs] C --> J[Node Resource Usage] D --> K[Node Details] E --> L[Namespace Resource Usage] F --> M[Workload Details] G --> N[Persistent Volumes] H --> O[Service and Ingress Details] I --> P[Pod Logs]

The Kubernetes Dashboard provides a comprehensive view of your cluster's resources, making it easier to monitor and manage your Kubernetes environment. By using the various views and metrics available in the dashboard, you can quickly identify and address any issues or bottlenecks in your cluster.

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