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Dashboard Overview

The dashboard is the home screen of Menatic AI, providing a high-level view of your Kubernetes cluster’s resources and running workloads.

At the top of the dashboard, four summary cards show aggregate cluster state:

CardDescription
NodesTotal nodes in the cluster
NotebooksCount of deployed Jupyter notebook instances
MCP ServersCount of running MCP server deployments
GPUsTotal GPU units available and in use

Below the stats, two pie charts visualize overall CPU and memory allocation across all nodes:

  • CPU Usage — requested cores vs. total allocatable cores
  • Memory Usage — requested GB vs. total allocatable GB

These charts reflect Kubernetes resource requests, not actual utilization. For actual utilization, see Node Monitoring.

The node list shows each Kubernetes node with:

  • Node name and status
  • CPU capacity and current allocation
  • Memory capacity and current allocation
  • Real-time CPU and memory usage bars (requires metrics-server)

Each node row displays a pair of progress bars — blue for CPU, violet for memory — showing actual consumption relative to capacity.

Click the Refresh button in the top-right corner to reload all dashboard data. The dashboard does not auto-refresh to avoid unnecessary API load.