Azure Time Series Insights (Environment, Event Source)

Dynatrace ingests metrics from Azure Metrics API for Azure Time Series Insights (Environment, Event Source). 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.

time-series-env time-series-event-sources

Available metrics

Name Description Unit Recommended (Environment) Recommended (Event Source)
IngressReceivedMessages The number of messages read from all Event Hub or IoT Hub event sources Count ✔️ ✔️
IngressReceivedInvalidMessages The number of invalid messages read from the event source Count ✔️ ✔️
IngressStoredBytes The total size of events successfully processed and available for query Byte ✔️ ✔️
IngressReceivedBytes The number of bytes read from all event sources Byte ✔️ ✔️
IngressStoredEvents The number of flattened events successfully processed and available for query Count ✔️ ✔️
IngressReceivedMessagesTimeLag The difference between the time that the message is enqueued in the event source and the time it is processed in ingress Second ✔️ ✔️
IngressReceivedMessagesCountLag The difference between the sequence number of the last enqueued message in the event source partition and the sequence number of messages being processed in ingress Count ✔️ ✔️
WarmStorageMaxProperties The maximum number of properties used allowed by the environment for S1/S2 SKU and the maximum number of properties allowed by warm store for PAYG SKU Count ✔️
WarmStorageUsedProperties The number of properties used by the environment for S1/S2 SKU and number of properties used by warm store for PAYG SKU Count ✔️