Azure Data Factory (V1, V2) monitoring

  • How-to guide
  • 3-min read
  • Published Jul 27, 2020

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 Classic.
  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

NameDescriptionDimensionsUnitRecommended
FailedRunsThe total number of runs that failed within a minute windowpipelineName, activityNameCountApplicable
SuccessfulRunsThe total number of runs that succeeded within a minute windowpipelineName, activityNameCountApplicable

Azure Data Factory V2

NameDescriptionDimensionsUnitRecommended
ActivityCancelledRunsThe total number of activity runs that were cancelled within a minute windowActivityType, PipelineName, FailureType, NameCount
ActivityFailedRunsThe total number of activity runs that failed within a minute windowActivityType, PipelineName, FailureType, NameCountApplicable
ActivitySucceededRunsThe total number of activity runs that succeeded within a minute windowActivityType, PipelineName, FailureType, NameCountApplicable
FactorySizeInGbUnitsTotal factory size (GB unit)GigaByte
IntegrationRuntimeAvailableMemoryIntegration runtime available memoryIntegrationRuntimeName, NodeNameByteApplicable
IntegrationRuntimeAvailableNodeNumberIntegration runtime available node countIntegrationRuntimeNameCount
IntegrationRuntimeAverageTaskPickupDelayIntegration runtime queue durationIntegrationRuntimeNameSecond
IntegrationRuntimeCpuPercentageIntegration runtime CPU utilizationIntegrationRuntimeName, NodeNamePercentApplicable
IntegrationRuntimeQueueLengthIntegration runtime queue lengthIntegrationRuntimeNameCount
MaxAllowedFactorySizeInGbUnitsMaximum allowed factory size (GB unit)GigaByte
MaxAllowedResourceCountMaximum allowed entities countCount
PipelineCancelledRunsCancelled pipeline runs metricsFailureType, NameCount
PipelineFailedRunsFailed pipeline runs metricsFailureType, NameCountApplicable
PipelineSucceededRunsSucceeded pipeline runs metricsFailureType, NameCountApplicable
ResourceCountTotal entities countCount
SSISIntegrationRuntimeStartCancelThe total number of SSIS IR starts that were cancelled within a minute windowIntegrationRuntimeNameCount
SSISIntegrationRuntimeStartFailedThe total number of SSIS IR starts that failed within a minute windowIntegrationRuntimeNameCount
SSISIntegrationRuntimeStartSucceededThe total number of SSIS IR starts that succeeded within a minute windowIntegrationRuntimeNameCount
SSISIntegrationRuntimeStopStuckThe total number of SSIS IR stops that were stuck within a minute windowIntegrationRuntimeNameCount
SSISIntegrationRuntimeStopSucceededThe total number of SSIS IR stops that succeeded within a minute windowIntegrationRuntimeNameCount
SSISPackageExecutionCancelThe total number of SSIS package executions that were cancelled within a minute windowIntegrationRuntimeNameCount
SSISPackageExecutionFailedThe total number of SSIS package executions that failed within a minute windowIntegrationRuntimeNameCount
SSISPackageExecutionSucceededThe total number of SSIS package executions that succeeded within a minute windowIntegrationRuntimeNameCount
TriggerCancelledRunsThe total number of trigger runs that were cancelled within a minute windowName, FailureTypeCount
TriggerFailedRunsThe total number of trigger runs that failed within a minute windowName, FailureTypeCountApplicable
TriggerSucceededRunsThe total number of trigger runs that succeeded within a minute windowName, FailureTypeCountApplicable
Related tags
Infrastructure Observability