Azure Data Explorer

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.


  • 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

  1. Go to Settings > Cloud and virtualization > Azure and select the Azure instance.
  2. For Resource monitoring method, select Monitor resources based on tags.
  3. Enter the Key and Value.
  4. 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.

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

Once you add the service to monitoring, you can view the service metrics in your Dynatrace environment either on your dashboard page or on the custom device overview page.

Import preset dashboards

Dynatrace provides preset Azure dashboards that you can import from GitHub to your environment's Dashboards page.
Note: To save a preset dashboard locally, create a new JSON file on your local machine and copy-paste the content of the JSON file from GitHub into the new file.
Once you save a preset dashboard locally, there are two ways to import it.


Available metrics

Name Description Unit Dimensions Recommended
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 ✔️