Azure Power BI Embedded monitoring
Dynatrace ingests metrics from Azure Metrics API for Azure Power BI Embedded. 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 1.201+
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
- 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.
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.
Available metrics
| Name | Description | Unit | Dimensions | Recommended |
|---|---|---|---|---|
| QueryDuration | DAX query duration in last interval | MilliSecond |  | |
| QueryPoolJobQueueLength | Number of jobs in the queue of the query thread pool | Count | | |
| memory_metric | Memory ranging 0-3 GB for A1, 0-5 GB for A2, 0-10 GB for A3, 0-20 GB for A4, 0-50 GB for A5, and 0-100 GB for A6 | Byte | | |
| memory_thrashing_metric | Average memory thrashing | Percent | ||
| qpu_high_utilization_metric | QPU high utilization in last minute, 1 for high QPU utilization, otherwise 0 | Count | ||
| qpu_metric | QPU ranging 0-100 for S1, 0-200 for S2, and 0-400 for S4 | Count | | |
| workload_memory_metric | The usage of memory in your capacity resource per workload | Byte | Workload | |
| workload_qpu_metric | The query processing unit (QPU) load on your capacity, per workload | Count | Workload | |