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  • Azure Logic Apps monitoring

Azure Logic Apps monitoring

Dynatrace ingests metrics from Azure Metrics API for Azure Logic Apps. 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 1.198+

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

Logic apps

Available metrics

NameDescriptionUnitRecommended
ActionLatencyLatency of completed workflow actionsSecond✔️
ActionSuccessLatencyLatency of successful workflow actionsSecond✔️
ActionThrottledEventsNumber of workflow action throttled eventsCount✔️
ActionsCompletedNumber of completed workflow actionsCount✔️
ActionsFailedNumber of failed workflow actionsCount✔️
ActionsSkippedNumber of skipped workflow actionsCount✔️
ActionsStartedNumber of started workflow actionsCount✔️
ActionsSucceededNumber of successful workflow actionsCount✔️
BillableActionExecutionsNumber of billed workflow action executionsCount✔️
BillableTriggerExecutionsNumber of billed workflow trigger executionsCount✔️
BillingUsageNativeOperationNumber of billed native operation executionsCount✔️
BillingUsageStandardConnectorNumber of billed standard connector executionsCount✔️
BillingUsageStorageConsumptionNumber of billed storage consumption executionsCount✔️
RunFailurePercentagePercentage of failed workflow runsPercent✔️
RunLatencyLatency of completed workflow runsSecond✔️
RunStartThrottledEventsNumber of workflow run start throttled eventsCount✔️
RunSuccessLatencyLatency of successful workflow runsSecond✔️
RunThrottledEventsNumber of workflow action or trigger throttled eventsCount✔️
RunsCancelledNumber of cancelled workflow runsCount✔️
RunsCompletedNumber of completed workflow runsCount✔️
RunsFailedNumber of failed workflow runsCount✔️
RunsStartedNumber of started workflow runsCount✔️
RunsSucceededNumber of successful workflow runsCount✔️
TotalBillableExecutionsNumber of billed workflow executionsCount✔️
TriggerFireLatencyLatency of fired workflow triggersSecond✔️
TriggerLatencyLatency of completed workflow triggersSecond✔️
TriggerSuccessLatencyLatency of successful workflow triggersSecond✔️
TriggerThrottledEventsNumber of workflow trigger throttled eventsCount✔️
TriggersCompletedNumber of completed workflow triggersCount✔️
TriggersFailedNumber of failed workflow triggersCount✔️
TriggersFiredNumber of fired workflow triggersCount✔️
TriggersSkippedNumber of skipped workflow triggersCount✔️
TriggersStartedNumber of started workflow triggersCount✔️
TriggersSucceededNumber of successful workflow triggersCount✔️