Azure Data Factory is a managed cloud service built for these complex hybrid extract-transform-load (ETL), extract-load-transform (ELT), and data integration projects.

Use the Azure public cloud integration to discover and collect metrics against the Azure service.

External reference

Azure Monitor - Platform metrics

Setup

To set up the Azure integration and discover the Azure service, go to Azure Integration Discovery Profile and select Data Factory.

Event support

  • Supported
  • Configurable in OpsRamp Azure Integration Discovery Profile.

Supported metrics

OpsRamp MetricMetric Display NameUnitAggregation Type
azure_pipeline_failed_runs

Failed pipeline runs.
Failed pipeline runsCountTotal
azure_pipeline_succeeded_runs

Succeeded pipeline runs.
Succeeded pipeline runsCountTotal
azure_activity_failed_runs

Failed activity runs.
Failed activity runsCountTotal
azure_activity_succeeded_runs

Succeeded activity runs.
Succeeded activity runsCountTotal
azure_trigger_failed_runs

Failed trigger runs.
Failed trigger runsCountTotal
azure_trigger_succeeded_runs

Succeeded trigger runs.
Succeeded trigger runsCountTotal
azure_successful_runs

Successful runs.
Successful RunsCountTotal
azure_failed_runs

Failed runs.
Failed RunsCountTotal
azure_integration_run_time_cpu_percentage

Integration runtime CPU utilization.
Integration runtime CPU utilizationPercentAverage
azure_integration_run_time_available_memory

Integration runtime available memory.
Integration runtime available memoryBytesAverage
azure_max_allowed_resource_count

Maximum allowed entities count.
Maximum allowed entities countCountMaximum
azure_max_allowed_factory_size_in_gb_units

Maximum allowed factory size (GB unit).
Maximum allowed factory size (GB unit)CountMaximum
azure_data_factory_resource_count

Total entities count.
Total entities countCountMaximum
azure_factory_size_in_gb_units

Total factory size (GB unit).
Total factory size (GB unit)CountMaximum