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Workload Manager Metrics
This page documents Prometheus metrics related to the Workload Manager (WLM), which governs resource allocation and query concurrency across pools in Yellowbrick.
Purpose
The Workload Manager ensures fair and efficient use of system resources across multiple query workloads. This metric allows operators to:
- Track how many queries are currently running or waiting in each resource pool
- Identify pool-level contention or saturation
- Detect imbalances between configured concurrency limits and actual usage
- Optimize pool configurations based on query patterns
This metric is especially useful for SREs and platform admins monitoring SLA compliance or debugging queue buildup.
Metrics
| Name | Type | Freq | Labels | Description |
|---|---|---|---|---|
yb_lime_resourcepool | gauge | 10s | cluster, pool, state | Query counts by running/waiting state |