Kubernetes / Overview

Grafana Dashboard Overview

This dashboard provides a comprehensive view of the health and resource utilization within a Kubernetes cluster. It is designed to assist cluster administrators and DevOps engineers in monitoring and optimizing their deployments. Here are the key sections of the dashboard:

Cluster Health

This section offers a high-level view of the cluster’s overall health, including:

• Control Plane Status: Monitors the health and status of the control plane components.
• Nodes: Shows the status and health of all nodes within the cluster.
• Pods: Provides insights into the operational state of pods deployed across the cluster.
• Persistent Volumes: Tracks the status and health of persistent volumes.

Resource Usage and Commitment

Detailed breakdowns of resource usage and commitments are provided in the following rows:

• Global Overview: Captures total resource usage and commitments at the cluster level.
• By Namespace: Segregates resource data by namespaces, facilitating focused management and monitoring.
• Workloads: Details resource utilization by different workloads, aiding in the optimization of deployed applications.
• Pods: Individual pod resource usage statistics, important for pinpointing heavy consumers or potential bottlenecks.

Nodes Usage and Commitment

• Node-specific Resources: Monitors resource usage and commitments based on the pods deployed on each node, which is crucial for node-level resource balancing and troubleshooting.

Persistent Volume Claims (PVCs)

• Usage Overview: Displays the usage details of Persistent Volume Claims within the cluster, helping in the management of storage resources.

API Server Resources

• Monitoring API Server: Focuses on the resource consumption and performance of the Kubernetes API server, ensuring the reliability and efficiency of cluster management operations.

This dashboard aims to provide a clear and detailed view of all critical components and resources within the Kubernetes cluster, facilitating effective monitoring, troubleshooting, and operational decisions.