Skip to content

Kueue Monitoring ​

View the size of the Kueue-managed cluster, workload status, scheduling performance, and resource capacity on one screen.

Prerequisites ​

  • An administrator account with access to AI Training Admin

Click Kueue → Kueue Monitoring in the sidebar.

Page title

In the current demo, the page title appears as pageTitles.monitoring because a translation string is missing. This does not affect functionality.

Cluster summary · Workload metrics ​

Summarizes cluster size and Kueue workload status.

Cluster summary · Workload metrics
No.FeatureItemDescription
1-1Cluster summaryTotal nodes · Total Pods · Labeled Pods · GPU types· Total nodes and pods, pods labeled for Kueue, and the number of GPU types.
1-2Workload metricsRunning · Pending · Failed · Completed· Count of Kueue-managed workloads by status.

Performance metrics ​

Shows how smoothly queue scheduling is running.

Performance metrics
No.FeatureItemDescription
2-1MetricsQueued wait timeAverage time workloads waited in the queue.
Workloads per hourWorkloads processed per hour.
Completion rateShare of workloads that completed.
Scheduling efficiencyShare of requested resources assigned on time.

Logical · Physical capacity ​

Compare resource usage by quota (logical) and by actual nodes (physical).

Logical · Physical capacity
No.FeatureItemDescription
3-1Logical capacityCPU · Memory · 한도· Requests (Usage) and limits against the cluster quota. These are reserved amounts, not actual use.
3-2Physical capacityCPU · Memory · Disk · GPU· Amount actually in use on nodes and the remaining allocatable amount. A red bar means it is nearly full.

GPU resource summary ​

Quota, usage, and remaining amount by GPU type.

GPU resource summary
No.FeatureItemDescription
4-1GPU typee.g., nvidia_com_gpu· Shows usage and allocatable amount for each GPU resource name.

The New Standard for AI Infrastructure