fix(metrics): remove per-resource id label to bound cardinality - #578
fix(metrics): remove per-resource id label to bound cardinality#578geoberle wants to merge 1 commit into
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WalkthroughResource metrics no longer include resource IDs in labels or recording APIs. Event processing uses the updated signatures. Integration tests find histogram samples by consumer and source labels. ChangesResource metrics
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: ⚪ Minimal · up to The PR removes the per-resource metric label as intended; one localized test assertion should verify server_instance_id, but no actionable merge-blocking risk remains. 🚥 Pre-merge checks | ✅ 11✅ Passed checks (11 passed)
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Inline comments:
In `@test/integration/resource_test.go`:
- Around line 769-792: Update findHistogramSampleCount to accept and require the
expected server_instance_id label in addition to consumer and source, and update
its status-event test call sites accordingly. Ensure the helper only matches
metrics where all three labels have the expected values.
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Configuration used: Repository: openshift-online/coderabbit/.coderabbit.yaml
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Run ID: e747fb84-dd65-41ea-b727-7bb062ca9084
📒 Files selected for processing (3)
cmd/maestro/server/event_server.gopkg/services/resource.gotest/integration/resource_test.go
💤 Files with no reviewable changes (1)
- cmd/maestro/server/event_server.go
resource_processed_total, resource_first_status_latency_seconds, and resource_status_event_processing_latency_seconds were labeled with the resource id. Since id is unique per resource and Maestro scales to a lot of resources, this creates one time series per resource, growing without bound as resources come and go. Drop id from all three metrics, keeping action, consumer, source, and server_instance_id. The histograms were, per-resource, always a single observation, not a distribution; without id, observations for the same consumer/source accumulate into one histogram, so histogram_quantile() gives real percentile latency. Per-resource latency was never queryable at that granularity anyway; it belongs in logs, already logged at each call site.
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Description
resource_processed_total,resource_first_status_latency_seconds, andresource_status_event_processing_latency_secondswere labeled with the resourceid. Sinceidis unique per resource and Maestro is designed to scale to a lot of resources, this creates one time series per resource, growing without bound as resources come and go.This PR drops
idfrom all three metrics, keepingaction,consumer,source, andserver_instance_id.The two histograms were, per-resource, always a single observation — not a distribution. Without
id, observations for the sameconsumer/sourceaccumulate into one histogram, sohistogram_quantile()now gives real p50/p95/p99 latency — actually alertable. Per-resource latency was never queryable at that granularity anyway; it belongs in logs (already logged at each call site).Type of Change
Testing
make test)Checklist
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