Prometheus Metrics

A Prometheus query can be used to obtain measurements for analysis.

apiVersion: argoproj.io/v1alpha1
kind: AnalysisTemplate
metadata:
  name: success-rate
spec:
  args:
  - name: service-name
  metrics:
  - name: success-rate
    interval: 5m
    # NOTE: prometheus queries return results in the form of a vector.
    # So it is common to access the index 0 of the returned array to obtain the value
    successCondition: result[0] >= 0.95
    failureLimit: 3
    provider:
      prometheus:
        address: http://prometheus.example.com:9090
        query: |
          sum(irate(
            istio_requests_total{reporter="source",destination_service=~"{{args.service-name}}",response_code!~"5.*"}[5m]
          )) /
          sum(irate(
            istio_requests_total{reporter="source",destination_service=~"{{args.service-name}}"}[5m]
          ))

The example shows Istio metrics, but you can use any kind of metric available to your prometheus instance. We suggest you validate your PromQL expression using the Prometheus GUI first.

See the Analysis Overview page for more details on the available options.

Additional Metadata

Any additional metadata from the Prometheus controller, like the resolved queries after substituting the template's arguments, etc. will appear under the Metadata map in the MetricsResult object of AnalysisRun.