Azure Synapse Analytics (Synapse Workspace, Apache Spark pool, SQL pool) monitoring
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.
Prerequisites
- Dynatrace version 1.203+
- 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.
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 and select Cloud and virtualization > Azure.
-
On the Azure overview page, select the Edit
icon for the Azure instance.
-
Set Resources to be monitored to Monitor resources selected by tags.
-
Enter key/value pairs to identify resources to exclude from monitoring or include in monitoring. You can enter multiple key/value pairs: each time you enter a pair, another empty row is displayed for you to edit as needed.
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Select Save to save your configuration.
To import the Azure tags automatically into Dynatrace, turn on 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
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
Synapse Workspace
Name | Description | Dimensions | Unit | Recommended |
---|---|---|---|---|
IntegrationActivityRunsEnded | The number of orchestration activities that succeeded, failed, or were cancelled | Result, Failure type, Activity, Activity type, Pipeline | Count | |
IntegrationPipelineRunsEnded | The number of orchestration pipeline runs that succeeded, failed, or were cancelled | Result, Failure type, Pipeline | Count | |
IntegrationTriggerRunsEnded | The number of orchestration triggers that succeeded, failed, or were cancelled | Result, Failure type, Trigger | Count | |
BuiltinSqlPoolLoginAttempts | The number of login attempts that succeeded or failed | Result, Failure type | Count | |
BuiltinSqlPoolRequestsEnded | The number of queries that succeeded, failed, or were cancelled | Result, Failure type | Count | |
BuiltinSqlPoolDataProcessedBytes | The amount of data processed by queries | Byte |
Apache Spark pool
Name | Description | Dimensions | Unit | Recommended |
---|---|---|---|---|
BigDataPoolApplicationsActive | Active Apache Spark applications | Job state | Count | |
BigDataPoolApplicationsEnded | Ended Apache Spark applications | Job result, Job type | Count | |
BigDataPoolAllocatedMemory | Memory allocated (in GB) | Submitter ID | Count | |
BigDataPoolAllocatedCores | V cores allocated | Submitter ID | Count |
SQL pool
Name | Description | Unit | Dimensions | Recommended |
---|---|---|---|---|
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 |