Azure Data Factory (V1, V2) monitoring

Dynatrace ingests metrics from Azure Metrics API for Azure Data Factory (V1, V2). You can view metrics for each service instance, split metrics into multiple dimensions, and create custom charts that you can pin to your dashboards.

Prerequisites

  • Dynatrace version 1.199+
  • Environment ActiveGate version 1.195+

Enable monitoring

To learn how to enable service monitoring, see Enable service monitoring.

View service metrics

You can view the service metrics in your Dynatrace environment either on the custom device overview page or on your Dashboards page.

View metrics on the custom device overview page

To access the custom device overview page

  1. Go to Technologies & Processes or Technologies & Processes Classic (latest Dynatrace).
  2. Filter by service name and select the relevant custom device group.
  3. Once you select the custom device group, you're on the custom device group overview page.
  4. The custom device group overview page lists all instances (custom devices) belonging to the group. Select an instance to view the custom device overview page.

View metrics on your dashboard

Once you add a service to monitoring, a preset dashboard for the respective service containing all recommended metrics is automatically created on your Dashboards page. You can look for specific dashboards by filtering by Preset and then by Name.

For existing monitored services, you might need to resave your credentials for the preset dashboard to appear on the Dashboards page. To resave your credentials, go to Settings > Cloud and virtualization > Azure, select the desired Azure instance, then select Save.

You can't make changes on a preset dashboard directly, but you can clone and edit it. To clone a dashboard, open the browse menu () and select Clone.
To remove a dashboard from the dashboards list, you can hide it. To hide a dashboard, open the browse menu () and select Hide.

Hiding a dashboard doesn't affect other users.

Clone hide azure

Data fact 1

Data fact 2

Available metrics

Azure Data Factory V1

Name
Description
Dimensions
Unit
Recommended
FailedRuns
The total number of runs that failed within a minute window
pipelineName, activityName
Count
Applicable
SuccessfulRuns
The total number of runs that succeeded within a minute window
pipelineName, activityName
Count
Applicable

Azure Data Factory V2

Name
Description
Dimensions
Unit
Recommended
ActivityCancelledRuns
The total number of activity runs that were cancelled within a minute window
ActivityType, PipelineName, FailureType, Name
Count
ActivityFailedRuns
The total number of activity runs that failed within a minute window
ActivityType, PipelineName, FailureType, Name
Count
Applicable
ActivitySucceededRuns
The total number of activity runs that succeeded within a minute window
ActivityType, PipelineName, FailureType, Name
Count
Applicable
FactorySizeInGbUnits
Total factory size (GB unit)
GigaByte
IntegrationRuntimeAvailableMemory
Integration runtime available memory
IntegrationRuntimeName, NodeName
Byte
Applicable
IntegrationRuntimeAvailableNodeNumber
Integration runtime available node count
IntegrationRuntimeName
Count