Azure Data Explorer monitoring

Dynatrace ingests metrics from Azure Metrics API for Azure Data Explorer. 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.

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 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.
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

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.

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
BatchBlobCount	The number of data sources in an aggregated batch for ingestion	Count	Database
BatchDuration	The duration of the aggregation phase in the ingestion flow	Second	Database
BatchSize	The uncompressed, expected data size in an aggregated batch for ingestion	Byte	Database
BatchesProcessed	The number of batches aggregated for ingestion	Count	Database, SealReason
CPU	The CPU utilization level	Percent
CacheUtilization	The utilization level in the cluster scope	Percent
ContinuousExportMaxLatenessMinutes	The lateness (in minutes) reported by the continuous export jobs in the cluster	Count
ContinuousExportNumOfRecordsExported	The number of records exported, fired for every storage artifact written during the export operation	Count
ContinuousExportPendingCount	The number of pending continuous export jobs ready for execution	Count
ContinuousExportResult	Indicates whether continuous export succeeded or failed	Count	ContinuousExportName, Result, Database
EventsProcessedForEventHubs	The number of events processed by the cluster when ingesting from Event/IoT Hub	Count	EventStatus
ExportUtilization	The export utilization	Percent
IngestionLatencyInSeconds	The ingestion time from the source (for example, if message is in EventHub) to the cluster in seconds	Second
IngestionResult	The number of ingestion operations	Count	IngestionResultDetails
IngestionUtilization	The ratio of used ingestion slots in the cluster	Percent
IngestionVolumeInMB	The overall volume of ingested data to the cluster (in MB)	MegaByte
InstanceCount	The total instance count	Count
KeepAlive	Sanity check, indicating how the cluster responds to queries	Count
QueryDuration	The queries duration in seconds	MilliSecond	QueryStatus
SteamingIngestRequestRate	The streaming ingest request rate (requests per second)	Count
StreamingIngestDataRate	The streaming ingest data rate (MB per second)	Count
StreamingIngestDuration	The streaming ingest duration in milliseconds	MilliSecond
StreamingIngestResults	The streaming ingest result	Count	Result
TotalNumberOfConcurrentQueries	The total number of concurrent queries	Count
TotalNumberOfExtents	The total number of data extents	Count
TotalNumberOfThrottledCommands	The total number of throttled commands	Count	CommandType
TotalNumberOfThrottledQueries	The total number of throttled queries	Count