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  • Azure Data Explorer monitoring

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
  1. In the Dynatrace menu, go to Settings > Cloud and virtualization and select Azure.
  2. On the Azure overview page, select Edit for the desired Azure instance.
  3. Go to Services and select Add service, choose the desired service name from the list, and select Add service.
  4. 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

  1. In the Dynatrace menu, go to Settings > Cloud and virtualization > Azure and select Edit for the desired Azure instance.
  2. For Resources to be monitored, select Monitor resources selected by tags.
  3. Enter the Key and Value.
  4. Select Save to save your configuration.

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
To add and configure metrics
  1. In the Dynatrace menu, go to Settings > Cloud and virtualization and select Azure.
  2. On the Azure overview page, scroll down and select Edit for the desired Azure instance.
  3. Go to Services and select Manage services.
  4. To add a metric, select the service for which you want to add metrics.
  5. Select Add new metric.
  6. From the menu, select the metric you want.
  7. Select Add metric to add the metric to monitoring.
  8. To configure a metric, select Edit.
  9. 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

  1. In the Dynatrace menu, go to Technologies.
  2. Filter by service name and select the relevant custom device group.
  3. Once you select the custom device group, you're on the custom device group overview page.
  4. 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.

Clone hide azure

Data expl

Available metrics

NameDescriptionUnitDimensionsRecommended
BatchBlobCountThe number of data sources in an aggregated batch for ingestionCountDatabase✔️
BatchDurationThe duration of the aggregation phase in the ingestion flowSecondDatabase
BatchSizeThe uncompressed, expected data size in an aggregated batch for ingestionByteDatabase✔️
BatchesProcessedThe number of batches aggregated for ingestionCountDatabase, SealReason
CPUThe CPU utilization levelPercent✔️
CacheUtilizationThe utilization level in the cluster scopePercent✔️
ContinuousExportMaxLatenessMinutesThe lateness (in minutes) reported by the continuous export jobs in the clusterCount✔️
ContinuousExportNumOfRecordsExportedThe number of records exported, fired for every storage artifact written during the export operationCount✔️
ContinuousExportPendingCountThe number of pending continuous export jobs ready for executionCount✔️
ContinuousExportResultIndicates whether continuous export succeeded or failedCountContinuousExportName, Result, Database✔️
EventsProcessedForEventHubsThe number of events processed by the cluster when ingesting from Event/IoT HubCountEventStatus
ExportUtilizationThe export utilizationPercent✔️
IngestionLatencyInSecondsThe ingestion time from the source (for example, if message is in EventHub) to the cluster in secondsSecond✔️
IngestionResultThe number of ingestion operationsCountIngestionResultDetails
IngestionUtilizationThe ratio of used ingestion slots in the clusterPercent✔️
IngestionVolumeInMBThe overall volume of ingested data to the cluster (in MB)MegaByte✔️
InstanceCountThe total instance countCount
KeepAliveSanity check, indicating how the cluster responds to queriesCount✔️
QueryDurationThe queries duration in secondsMilliSecondQueryStatus✔️
SteamingIngestRequestRateThe streaming ingest request rate (requests per second)Count
StreamingIngestDataRateThe streaming ingest data rate (MB per second)Count
StreamingIngestDurationThe streaming ingest duration in millisecondsMilliSecond
StreamingIngestResultsThe streaming ingest resultCountResult
TotalNumberOfConcurrentQueriesThe total number of concurrent queriesCount✔️
TotalNumberOfExtentsThe total number of data extentsCount✔️
TotalNumberOfThrottledCommandsThe total number of throttled commandsCountCommandType
TotalNumberOfThrottledQueriesThe total number of throttled queriesCount✔️