Monitor KEDA Autoscaling Health with SigNoz Dashboard

This dashboard tracks the operational health of KEDA (Kubernetes Event-Driven Autoscaling) using the metrics it emits via OpenTelemetry. It works with KEDA v2.12+ and is verified against KEDA v2.16+ metric names.

To use this dashboard, configure KEDA to send OpenTelemetry metrics to SigNoz first. Follow Send KEDA Metrics to SigNoz for Helm and kubectl setup, validation, and troubleshooting.

Dashboard Preview

Dashboard JSON

Recommended. Uses the V2 dashboard schema and needs SigNoz v0.135.0 or newer.

Import it in SigNoz with Dashboards → + New dashboard → Import JSON. Import guide

What This Dashboard Monitors

The dashboard is grouped into five sections:

General Information

Active Scaler Objects: number of scalers currently active across the selected namespace
Build Info: keda.build.info legend (version, git commit, Go version) — useful as a sentinel that KEDA is reporting metrics
Paused ScaledObjects: count of ScaledObjects currently paused (keda.scaled.object.paused)

Scaler Metrics

Scaler Objects: time-series view of active scalers grouped by ScaledObject and scaler type
Scaler Metrics Value: current metric value used for HPA scaling decisions
Scaler Metrics Latency: time taken to fetch metrics from each scaler source
Scaling Loop Latency: KEDA control loop execution latency (keda.internal.scale.loop.latency.seconds)
ScaledObject Errors: error rate per ScaledObject (keda.scaledobject.errors)
Scaler Errors: per-scaler error rate (keda.scaler.errors)
Total Scaler Errors: aggregate of keda.scaler.errors summed across all scalers in the selected namespaces

ScaledJob Metrics

ScaledJob Errors: error rate per ScaledJob (keda.scaledjob.errors)

Resource and Trigger Metrics

Registered Resources: KEDA custom resources by type and namespace
Registered Triggers: triggers registered per trigger type

Cloud Event Metrics

CloudEventSource Events Emitted: number of CloudEvents emitted (only populated if you have a CloudEventSource)
CloudEventSource Events Queued: number of CloudEvents queued

Metrics Used

keda.build.info: KEDA build metadata (version, git commit, Go version, OS/arch). Emitted once per operator pod start.
keda.scaler.active: Indicates whether each scaler is active (1) or inactive (0).
keda.scaler.metrics.value: Current metric value each scaler reports to the HPA.
keda.scaler.metrics.latency.seconds: Time taken to fetch the current metric from each scaler source.
keda.scaler.errors: Cumulative count of errors per scaler.
keda.scaledobject.errors: Cumulative count of errors per ScaledObject.
keda.scaled.object.paused: Indicates whether each ScaledObject is paused (1) or active (0).
keda.scaledjob.errors: Cumulative count of errors per ScaledJob.
keda.internal.scale.loop.latency.seconds: KEDA reconcile loop execution time per ScaledObject and ScaledJob.
keda.resource.registered.count: Number of registered KEDA custom resources per namespace and resource type.
keda.trigger.registered.count: Number of registered triggers per trigger type.
keda.cloudeventsource.events.emitted.count: Cumulative count of CloudEvents emitted, tagged by destination and state (emitted or failed).
keda.cloudeventsource.events.queued: Current count of CloudEvents pending in the emit queue per namespace.

For the full reference and any deprecated metrics, see the KEDA OpenTelemetry Integration docs.

Dashboard Variables

namespace: filter by Kubernetes namespace (defaults to default)
scaled_object: filter by ScaledObject name