Azure Data Factory¶
You can declare to scrape an Azure Data Factory resource via the
When using declared resources, the following fields need to be provided:
factoryName- The name of the Azure Data Factory resource
pipelineName- The name of the data pipeline (optional)
All supported metrics are documented in the official Azure Monitor documentation.
The following scraper-specific metric label will be added:
pipeline_name- Name of the data pipeline.
Here is an example configuration:
- 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