Integrate with OpenTelemetry Collector (Experimental) Click here for latest

Detail of integrating OpenTelemetry Collector in KEDA

Warning

You are currently viewing v"2.14" of the documentation and it is not the latest. For the most recent documentation, kindly click here.

Push Metrics to OpenTelemetry Collector (Experimental)

Operator

The KEDA Operator supports outputting metrics to the OpenTelemetry collector. The parameter --enable-opentelemetry-metrics=true needs to be set. KEDA will push metrics to the OpenTelemetry collector specified by the OTEL_EXPORTER_OTLP_ENDPOINT environment variable. OTEL_EXPORTER_OTLP_PROTOCOL will also be used to choose HTTP or GRPC client. Other environment variables in OpenTelemetry are also supported (https://opentelemetry.io/docs/concepts/sdk-configuration/otlp-exporter-configuration/). Here is an example configuration of the operator:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: keda-operator
  ...
      containers:
        - name: keda-operator
          image: ghcr.io/kedacore/keda:latest
          command:
            - /keda
          args:
            --enable-opentelemetry-metrics=true
            ...
          ...
          env:
            - name: OTEL_EXPORTER_OTLP_ENDPOINT
              value: "http://opentelemetry-collector.default.svc.cluster.local:4318"

The following metrics are being gathered:

MetricDescription
keda.build.infoInfo metric, with static information about KEDA build like: version, git commit and Golang runtime info.
keda.scaler.activeThis metric marks whether the particular scaler is active (value == 1) or in-active (value == 0).
keda.scaled.object.pausedThis metric indicates whether a ScaledObject is paused (value == 1) or un-paused (value == 0).
keda.scaler.metrics.valueThe current value for each scaler’s metric that would be used by the HPA in computing the target average.
keda.scaler.metrics.latency.secondsThe latency of retrieving current metric from each scaler.
keda.scaler.errorsThe number of errors that have occurred for each scaler.
keda.scaler.errors.totalThe total number of errors encountered for all scalers.
keda.scaled.object.errorsThe number of errors that have occurred for each ScaledObject.
keda.scaled.job.errorsThe number of errors that have occurred for each ScaledJob.
keda.resource.registered.countTotal number of KEDA custom resources per namespace for each custom resource type (CRD).
keda.trigger.registered.countTotal number of triggers per trigger type.
keda.internal.scale.loop.latency.secondsTotal deviation between the expected execution time and the actual execution time for the scaling loop. This latency could be produced due to accumulated scalers latencies or high load. This is an internal metric.
keda.cloudeventsource.events.emitted.countMeasured emitted cloudevents with destination of this emitted event (eventsink) and emitted state.
keda.cloudeventsource.events.queuedThe number of events that are in the emitting queue.

Deprecated metrics

The following metrics are exposed as well, but are deprecated and will be removed in KEDA v2.16.

| keda.scaler.metrics.latency | The latency of retrieving current metric from each scaler. | | keda.resource.totals | Total number of KEDA custom resources per namespace for each custom resource type (CRD). | | keda.trigger.totals | Total number of triggers per trigger type. | | keda.internal.scale.loop.latency | Total deviation (in milliseconds) between the expected execution time and the actual execution time for the scaling loop. This latency could be produced due to accumulated scalers latencies or high load. This is an internal metric. |