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 enable monitoring for Azure Data Factory (V1, V2), you first need to set up integration with Azure Monitor.

Add the service to monitoring

In order to view the service metrics, you must add the service to monitoring in your Dynatrace environment.

Monitor resources based on tags

You can choose to monitor resources based on existing Azure tags, as Dynatrace automatically imports them from service instances.

To monitor resources based on tags

  1. Go to Settings > Cloud and virtualization > Azure and select the Azure instance.
  2. For Resource monitoring method, select Monitor resources based on tags.
  3. Enter the Key and Value.
  4. Select Save.

Note: To import the Azure tags automatically into Dynatrace, enable Capture Azure tags automatically.

Configure service metrics

Once you add a service, Dynatrace starts automatically collecting a suite of metrics for this particular service. These are recommended metrics.

Recommended metrics:

  • Are enabled by default
  • Can't be disabled
  • Can have recommended dimensions (enabled by default, can't be disabled)
  • Can have optional dimensions (disabled by default, can be enabled).

Apart from the recommended metrics, most services have the possibility of enabling optional metrics.

Optional metrics:

  • Can be added and configured manually

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 on the Dynatrace navigation menu.
  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.

Note: 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.
Note: Hiding a dashboard doesn't affect other users.
clone-hide-azure

data-fact1 data-fact2

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 ✔️
SuccessfulRuns The total number of runs that succeeded within a minute window pipelineName, activityName Count ✔️

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 ✔️
ActivitySucceededRuns The total number of activity runs that succeeded within a minute window ActivityType, PipelineName, FailureType, Name Count ✔️
FactorySizeInGbUnits Total factory size (GB unit) GigaByte
IntegrationRuntimeAvailableMemory Integration runtime available memory IntegrationRuntimeName, NodeName Byte ✔️
IntegrationRuntimeAvailableNodeNumber Integration runtime available node count IntegrationRuntimeName Count
IntegrationRuntimeAverageTaskPickupDelay Integration runtime queue duration IntegrationRuntimeName Second
IntegrationRuntimeCpuPercentage Integration runtime CPU utilization IntegrationRuntimeName, NodeName Percent ✔️
IntegrationRuntimeQueueLength Integration runtime queue length IntegrationRuntimeName Count
MaxAllowedFactorySizeInGbUnits Maximum allowed factory size (GB unit) GigaByte
MaxAllowedResourceCount Maximum allowed entities count Count
PipelineCancelledRuns Cancelled pipeline runs metrics FailureType, Name Count
PipelineFailedRuns Failed pipeline runs metrics FailureType, Name Count ✔️
PipelineSucceededRuns Succeeded pipeline runs metrics FailureType, Name Count ✔️
ResourceCount Total entities count Count
SSISIntegrationRuntimeStartCancel The total number of SSIS IR starts that were cancelled within a minute window IntegrationRuntimeName Count
SSISIntegrationRuntimeStartFailed The total number of SSIS IR starts that failed within a minute window IntegrationRuntimeName Count
SSISIntegrationRuntimeStartSucceeded The total number of SSIS IR starts that succeeded within a minute window IntegrationRuntimeName Count
SSISIntegrationRuntimeStopStuck The total number of SSIS IR stops that were stuck within a minute window IntegrationRuntimeName Count
SSISIntegrationRuntimeStopSucceeded The total number of SSIS IR stops that succeeded within a minute window IntegrationRuntimeName Count
SSISPackageExecutionCancel The total number of SSIS package executions that were cancelled within a minute window IntegrationRuntimeName Count
SSISPackageExecutionFailed The total number of SSIS package executions that failed within a minute window IntegrationRuntimeName Count
SSISPackageExecutionSucceeded The total number of SSIS package executions that succeeded within a minute window IntegrationRuntimeName Count
TriggerCancelledRuns The total number of trigger runs that were cancelled within a minute window Name, FailureType Count
TriggerFailedRuns The total number of trigger runs that failed within a minute window Name, FailureType Count ✔️
TriggerSucceededRuns The total number of trigger runs that succeeded within a minute window Name, FailureType Count ✔️