Azure Data Factory

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You can declare to scrape an Azure Data Factory resource via the DataFactory resource type.

When using declared resources, the following fields need to be provided:

All supported metrics are documented in the official Azure Monitor documentation.

The following scraper-specific metric label will be added:

Example:

- name: azure_data_factory_pipeline_run_successful
  description: "Amount of successful runs for 'data-pipeline-example' pipline in Azure Data Factory"
  resourceType: DataFactory
  azureMetricConfiguration:
    metricName: PipelineSucceededRuns
    aggregation:
      type: Total
  resources: # Optional, required when no resource discovery is configured
  - factoryName: promitor-data-factory
    pipelineName: data-pipeline-example
  resourceDiscoveryGroups: # Optional, requires Promitor Resource Discovery agent (https://promitor.io/concepts/how-it-works#using-resource-discovery)
  - name: data-factory-landscape

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