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

In the Dynatrace menu, go to Settings > Cloud and virtualization and select Azure.
On the Azure overview page, select Edit for the desired Azure instance.
Go to Services and select Add service, choose the desired service name from the list, and select Add service.
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

In the Dynatrace menu, go to Settings > Cloud and virtualization > Azure and select Edit for the desired Azure instance.
For Resources to be monitored, select Monitor resources selected by tags.
Enter the Key and Value.
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

In the Dynatrace menu, go to Settings > Cloud and virtualization and select Azure.
On the Azure overview page, scroll down and select Edit for the desired Azure instance.
Go to Services and select Manage services.
To add a metric, select the service for which you want to add metrics.
Select Add new metric.
From the menu, select the metric you want.
Select Add metric to add the metric to monitoring.
To configure a metric, select Edit.
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

In the Dynatrace menu, go to Technologies.
Filter by service name and select the relevant custom device group.
Once you select the custom device group, you're on the custom device group overview page.
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.

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	✔️