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.
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 & Processes or Technologies & Processes Classic (latest Dynatrace).
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
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)