Azure Data Factory monitoring integration

New Relic infrastructure monitoring provides an integration for reporting your Microsoft Azure Data Factory data to New Relic. Here we explain how to activate the integration and what data can be reported.

Features

New Relic gathers both DataFactory and Factory data from your Azure Data Factory service. You can monitor and alert on your Azure Data Factory data from New Relic, and you can create custom queries and custom chart dashboards.

Activate integration

To enable the integration follow standard procedures to activate your Azure service in New Relic.

Configuration and polling

You can change the polling frequency and filter data using configuration options.

Default polling information for the Azure Data Factory integration:

Polling interval: 5 minutes

Find and use data

To find your integration data, go to one.newrelic.com > All capabilities > Infrastructure > Azure and select the Data Factory integration.

Data is attached to the following event types:

Entity	Event Type	Provider
DataFactory	`AzureDataFactoryDataFactorySample`	`AzureDataFactoryDataFactory`
Factory	`AzureDataFactoryFactorySample`	`AzureDataFactoryFactory`

For more on how to use your data, see Understand and use integration data.

Metric data

To view metrics reported by the Data Factory integration, query the Entities below. For detailed metric information, see the Azure supported metrics documentation.

This integration collects Azure Data Factory data for DataFactory and Factory.

`DataFactory` data

Metric	Unit	Description
`failedRuns`	Count	Failed Runs
`successfulRuns`	Count	Failed Runs

`Factory` data

Metric	Unit	Description
`pipelineFailedRuns`	Count	Failed pipeline runs metrics
`pipelineSucceededRuns`	Count	Succeeded pipeline runs metrics
`pipelineCancelledRuns`	Count	Cancelled pipeline runs metrics
`activityFailedRuns`	Count	Failed activity runs metrics
`activitySucceededRuns`	Count	Succeeded activity runs metrics
`activityCancelledRuns`	Count	Cancelled activity runs metrics
`triggerFailedRuns`	Count	Failed trigger runs metrics
`triggerSucceededRuns`	Count	Succeeded trigger runs metrics
`triggerCancelledRuns`	Count	Cancelled trigger runs metrics
`integrationRuntimeCpuPercentagePercent`	Percent	Integration runtime CPU utilization
`integrationRuntimeAvailableMemoryBytes`	Bytes	Integration runtime available memory
`integrationRuntimeAverageTaskPickupDelaySeconds`	Seconds	Integration runtime queue duration
`integrationRuntimeQueueLength`	Count	Integration runtime queue length
`integrationRuntimeAvailableNodeNumber`	Count	Integration runtime available node count
`maxAllowedResourceCount`	Count	Maximum allowed entities count
`maxAllowedFactorySizeInGbUnits`	Count	Maximum allowed factory size (GB unit)
`resourceCount`	Count	Total entities count
`factorySizeInGbUnits`	Count	Total factory size (GB unit)