Dynatrace ingests metrics from Azure Metrics API for Azure Analytics (Synapse Workspace, Apache Spark pool, SQL pool). You can view metrics for each service instance, split metrics into multiple dimensions, and create custom charts that you can pin to your dashboards.
- Dynatrace version 1.203+
- Environment ActiveGate version 1.195+
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.
- Go to Settings > Cloud and virtualization and select Azure.
- On the Azure overview page, scroll down and select the desired instance. Select the Edit button.
- Scroll down, select Manage services and Add service. Choose the service name from the list and select Add service.
- Select Save changes.
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
- Go to Settings > Cloud and virtualization > Azure and select the Azure instance.
- For Resource monitoring method, select Monitor resources based on tags.
- Enter the Key and Value.
- 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.
- 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.
- Can be added and configured manually
- Go to Settings > Cloud and virtualization and select Azure.
- On the Azure overview page, scroll down and select the desired Azure instance. Select the Edit button.
- Scroll down to the Supporting services section and select Manage services.
- To add a metric, select the service for which you want to add metrics.
- Select Add metric.
- From the menu, select the metric you want.
- Select Add metric to add the metric to monitoring.
- To configure a metric, select the Edit button associated with it.
- 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
- Go to Technologies on the Dynatrace navigation menu.
- 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.
|OrchestrationActivityRunsEnded||The number of orchestration activities that succeeded, failed, or were cancelled||Result, Failure type, Activity, Activity type, Pipeline||Count||✔️|
|OrchestrationPipelineRunsEnded||The number of orchestration pipeline runs that succeeded, failed, or were cancelled||Result, Failure type, Pipeline||Count||✔️|
|OrchestrationTriggersEnded||The number of orchestration triggers that succeeded, failed, or were cancelled||Result, Failure type, Trigger||Count||✔️|
|SQLOnDemandLoginAttempts||The number of login attempts that succeeded or failed||Result, Failure type||Count|
|SQLOnDemandQueriesEnded||The number of queries that succeeded, failed, or were cancelled||Result, Failure type||Count||✔️|
|SQLOnDemandQueryProcessedBytes||The amount of data processed by queries||Byte||✔️|
Apache Spark pool
|MemoryCapacityGB||Memory capacity (in GB)||Count||✔️|
|SparkJobsEnded||The number of ended applications||Job type, Job result||Count||✔️|
|AdaptiveCacheHitPercent||Measures how well workloads are utilizing the adaptive cache. Use this metric with the cache hit percentage metric to determine whether to scale for additional capacity or rerun workloads to hydrate the cache.||Percent||✔️|
|AdaptiveCacheUsedPercent||Measures how well workloads are utilizing the adaptive cache. Use this metric with the cache used percentage metric to determine whether to scale for additional capacity or rerun workloads to hydrate the cache.||Percent||✔️|
|Connections||The number of total logins to the SQL pool||Count||Result||✔️|
|ConnectionsBlockedByFirewall||The number of connections blocked by firewall rules||Count|
|DWULimit||The service-level objective of the SQL pool||Count||✔️|
|DWUUsed||The usage across the SQL pool, measured by DWU limit * DWU percentage.||Count||✔️|
|DWUUsedPercent||The usage across the SQL pool, measured by taking the maximum between CPU percentage and Data IO percentage||Percent||✔️|
|LocalTempDBUsedPercent||The local tempdb utilization across all compute nodes. Values are emitted every five minutes.||Percent||✔️|
|MemoryUsedPercent||The memory utilization across all nodes in the SQL pool||Percent||✔️|
|WLGActiveQueries||The active queries within the workload group||Count||Is user defined, Workload group||✔️|
|WLGActiveQueriesTimeouts||The queries for the workload group that have timed out||Count||Is user defined, Workload group||✔️|
|WLGAllocationByMaxResourcePercent||The percentage allocation of resources relative to the effective cap resource percent per workload group||Percent||Is user defined, Workload group|
|WLGAllocationBySystemPercent||The percentage allocation of resources relative to the entire system||Percent||Is user defined, Workload group|
|WLGEffectiveCapResourcePercent||The effective cap resource percent for the workload group||Percent||Is user defined, Workload group|
|WLGQueuedQueries||The cumulative number of requests queued after the max concurrency limit was reached||Count||Is user defined, Workload group|
|wlg_effective_min_resource_percent||The effective minimum resource percentage setting allowed, considering the service level and the workload group settings||Percent||Is user defined, Workload group|