Azure Data Factory is a cloud data integration service, to compose data storage, movement, and processing services into automated data pipelines.
Use the Datadog Azure integration to collect metrics from Data Factory.
If you haven’t already, set up the Microsoft Azure integration first. There are no other installation steps.
| azure.datafactory_datafactories.failed_runs (count) | Failed Runs |
| azure.datafactory_datafactories.successful_runs (count) | Successful Runs |
| azure.datafactory_factories.activity_failed_runs (count) | Failed activity runs metrics |
| azure.datafactory_factories.activity_succeeded_runs (count) | Succeeded activity runs metrics |
| azure.datafactory_factories.integration_runtime_available_memory (gauge) | Integration runtime available memory Shown as byte |
| azure.datafactory_factories.integration_runtime_cpu_percentage (gauge) | Integration runtime CPU utilization Shown as percent |
| azure.datafactory_factories.pipeline_failed_runs (count) | Failed pipeline runs metrics |
| azure.datafactory_factories.pipeline_succeeded_runs (count) | Succeeded pipeline runs metrics |
| azure.datafactory_factories.trigger_failed_runs (count) | Failed trigger runs metrics |
| azure.datafactory_factories.trigger_succeeded_runs (count) | Succeeded trigger runs metrics |
The Azure Data Factory integration does not include any events.
The Azure Data Factory integration does not include any service checks.
Need help? Contact Datadog support.
