Azure Data Lake Analytics

Dynatrace ingests metrics from Azure Metrics API for Azure Data Lake Analytics. 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 1.199+
Environment ActiveGate version 1.195+

Enable monitoring

To enable monitoring for Azure Data Lake Analytics, 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

Go to Settings > Cloud and virtualization and select Azure.
On the Azure overview page, scroll down and select the desired instance. Select the Edit button.
Scroll down, select Manage services and Add service. Choose the service name from the drop-down and select Add service.
Select Save changes.

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

Go to Settings > Cloud and virtualization and select Azure.
On the AWS overview page, scroll down and select the desired AWS instance. Select the Edit button.
Scroll down to the Supporting services section and select Manage services.
To add a metric, select the service for which you want to add metrics.
Select Add metric.
From the menu, select the metric you want.
Select Add metric to add the metric to monitoring.
To configure a metric, select the Edit button associated with it.
Select Apply to save your configuration.

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.

To access the custom device overview page

Go to Technologies on the main menu of your Dynatrace environment.
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.

Example of 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.

Example of custom device overview page

Import preset dashboards

Dynatrace provides preset Azure dashboards that you can import from GitHub to your environment's dashboard page. Once you download a preset dashboard locally, there are two ways to import it.

Import via Dynatrace web UI

On your Dynatrace dashboard page, select Edit and switch to Settings.
Select Advanced settings.
On the Dashboard settings menu, select Dashboard JSON.
Use Upload to choose and upload the dashboard JSON file that you want to import.

Import via Dynatrace API

Create an API token.
When creating the token, enable the Write configuration permission.
To import the dashboard, run the command below, replacing {DYNATRACE_HOST}, {DYNATRACE_TENANT}, {TOKEN}, and {PATH_TO_DASHBOARD} with your own values.

curl --location --request POST 'http://{DYNATRACE_HOST}/e/{DYNATRACE_TENANT}/api/config/v1/dashboards' \
--header 'Authorization: Api-Token {TOKEN}' \
--header 'Content-Type: application/json' \
--data-binary '{PATH_TO_DASHBOARD}'

For more information, see Dashboards API - POST a dashboard

datalake-dash

Available metrics

Name	Description	Dimensions	Unit	Recommended
JobEndedSuccess	Count of successful jobs	containerName	Count	✔️
JobEndedFailure	Count of failed jobs	containerName	Count	✔️
JobEndedCancelled	Count of cancelled jobs		Count	✔️
JobAUEndedSuccess	Total AU time for successful jobs		Second	✔️
JobAUEndedFailure	Total AU time for failed jobs		Second	✔️
JobAUEndedCancelled	Total AU time for cancelled jobs		Second	✔️
JobStage	Progress of jobs		Count