Monitor your cluster’s connection status and workloads using the Lilac dashboard and Kubernetes tools.Documentation Index
Fetch the complete documentation index at: https://docs.getlilac.com/llms.txt
Use this file to discover all available pages before exploring further.
Dashboard
The Clusters section of the Lilac console shows:Cluster Status
| Status | Meaning |
|---|---|
| Connected | Operator is syncing normally with the control plane |
| Degraded | Sync has failed recently — operator will retry on next cycle |
| Draining | Disconnected for 10+ minutes — inference pods are being gracefully removed |
Workload Activity
- Desired vs. reported workloads per pool
- Workload details: GPU count, pod phase, ready status, restart counts
- Draining workload counts
- Model assignments (which models are running on which nodes)
GPU Allocation
- Per-pool breakdown of tenant vs. Lilac GPU usage
- Node details (GPU product, total GPUs)
- Last sync timestamps and lease expiration
Detailed usage statistics (tokens processed, revenue earned) are sent in your monthly report. See Revenue & Payouts for details.
Kubernetes Monitoring
Check Pool Status
View Operator Logs
| Event | Meaning |
|---|---|
control plane sync successful | Normal sync completed |
workload created | New inference pod deployed |
preemption triggered | GPUs being reclaimed for your workloads |
workload drained | Inference pod gracefully removed |
sync failed | Control plane unreachable — will retry |
View Running Inference Pods
Kubernetes Events
The operator emits Kubernetes events for key state transitions:| Event | Description |
|---|---|
PoolCleanedUp | All managed workloads deleted from pool |
ControlPlaneDegraded | Control plane stopped responding |
ControlPlaneDisconnected | Disconnect timeout elapsed, draining workloads |
WorkloadPreempted | Workload evicted after grace period |
WorkloadDraining | Draining began (includes reason and grace period) |