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  • Azure Data Factory (V1, V2) monitoring

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 this service, 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.

To add a service to monitoring
  1. In the Dynatrace menu, go to Settings > Cloud and virtualization and select Azure.
  2. On the Azure overview page, select Edit for the desired Azure instance.
  3. Go to Services and select Add service, choose the desired service name from the list, and select Add service.
  4. Select Save changes to save your configuration.

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. In the Dynatrace menu, go to Settings > Cloud and virtualization > Azure and select Edit for the desired Azure instance.
  2. For Resources to be monitored, select Monitor resources selected by tags.
  3. Enter the Key and Value.
  4. Select Save to save your configuration.

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
To add and configure metrics
  1. In the Dynatrace menu, go to Settings > Cloud and virtualization and select Azure.
  2. On the Azure overview page, scroll down and select Edit for the desired Azure instance.
  3. Go to Services and select Manage services.
  4. To add a metric, select the service for which you want to add metrics.
  5. Select Add new metric.
  6. From the menu, select the metric you want.
  7. Select Add metric to add the metric to monitoring.
  8. To configure a metric, select Edit.
  9. Select Apply to save your configuration.

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. In the Dynatrace menu, go to Technologies.
  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 fact 1

Data fact 2

Available metrics

Azure Data Factory V1

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

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, NameCount✔️
ActivitySucceededRunsThe total number of activity runs that succeeded within a minute windowActivityType, PipelineName, FailureType, NameCount✔️
FactorySizeInGbUnitsTotal factory size (GB unit)GigaByte
IntegrationRuntimeAvailableMemoryIntegration runtime available memoryIntegrationRuntimeName, NodeNameByte✔️
IntegrationRuntimeAvailableNodeNumberIntegration runtime available node countIntegrationRuntimeNameCount
IntegrationRuntimeAverageTaskPickupDelayIntegration runtime queue durationIntegrationRuntimeNameSecond
IntegrationRuntimeCpuPercentageIntegration runtime CPU utilizationIntegrationRuntimeName, NodeNamePercent✔️
IntegrationRuntimeQueueLengthIntegration runtime queue lengthIntegrationRuntimeNameCount
MaxAllowedFactorySizeInGbUnitsMaximum allowed factory size (GB unit)GigaByte
MaxAllowedResourceCountMaximum allowed entities countCount
PipelineCancelledRunsCancelled pipeline runs metricsFailureType, NameCount
PipelineFailedRunsFailed pipeline runs metricsFailureType, NameCount✔️
PipelineSucceededRunsSucceeded pipeline runs metricsFailureType, NameCount✔️
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, FailureTypeCount✔️
TriggerSucceededRunsThe total number of trigger runs that succeeded within a minute windowName, FailureTypeCount✔️