Query infrastructure dimensional metrics with NRQL

Dimensional metrics are an industry standard for storing and querying metric data. All infrastructure metrics are stored as event data in New Relic, but you can also query them through dimensional metrics.

In this page you can learn:

• The benefits of dimensional metrics.
• A few examples on how and where to use them.
• Known issues.

Why it matters

At New Relic we report metrics in several ways, including dimensional metrics, which are used by our metric API, Telemetry SDK, some open-source integrations, and our infrastructure services.

This type of metric enables you to:

• Enjoy an improved query experience for Infrastructure data.
• Discover all your metrics in one place.
• Tap into more metric sources, such as Prometheus.

For example, the query to get the maximum duration of your Lambda functions is simplified:

FROM ServerlessSample
SELECT max(provider.duration.Maximum)
WHERE provider = 'LambdaFunction'

FROM Metric
SELECT max(aws.lambda.function.duration)

Get started

No agent or integration updates are required to use these metrics.

NRQL alerting based on dimensional metrics is also supported, except for data coming from cloud integrations (that is metrics from AWS polling integrations, GCP, and Azure). AWS CloudWatch Metric Streams metrics are ingested as dimensional metrics and NRQL alerts are recommended.

Where and how to query dimensional metrics

All current NRQL query features are supported. Queries can use WHERE, FACET, and time selection functions such as SINCE, UNTIL, and COMPARE WITH.

Naming conventions for metrics and attributes

All metric names and attributes for dimensional metrics follow the same naming convention in order to make them easy to find and use. Metric and attribute names are namespaced with dots: for example, the host. prefix is used for host metrics, the k8s. prefix is used for Kubernetes metrics, and aws. is used for AWS metrics.

The graphic below shows how a ProcessSample that contains three metrics (cpuPercent, ioTotalReadBytes, and ioTotalWriteBytes) is split into three separate metrics. Note the updated naming of the metrics and the attributes.

Examples

Here are some examples of NQRL queries with and without dimensional metrics:

FROM BlockDeviceSample
SELECT sum('provider.volumeTotalWriteTime.Sum')
WHERE provider = 'EbsVolume'
FACET entityName

FROM Metric
SELECT sum(aws.ebs.volume.TotalWriteTime)
FACET entity.name

FROM AzureServiceBusTopicSample
SELECT max(activeMessages.Maximum)
FACET resourceGroupName

FROM Metric
SELECT max(azure.servicebus.topic.activeMessages)
FACET azure.resourceGroup

FROM AzureFunctionsAppSample
SELECT sum(functionExecutionCount.Total)
FACET regionName
TIMESERIES SINCE 6 hours ago

FROM Metric
SELECT sum(azure.functions.app.functionExecutionCount)
FACET azure.region
TIMESERIES SINCE 6 hours ago

FROM AzureVirtualMachineScaleSetSample
SELECT uniqueCount(vMName)
FACET name
SINCE 30 MINUTES AGO COMPARE WITH 1 WEEK AGO

FROM Metric
SELECT uniqueCount(azure.vms.vmName)
FACET azure.resourceName
WHERE azure.resourceType='Microsoft.Compute/virtualMachineScaleSets'
SINCE 30 MINUTES AGO COMPARE WITH 1 WEEK AGO

FROM NginxSample
SELECT average(net.requestsPerSecond)
TIMESERIES

FROM Metric
SELECT average(nginx.server.net.requestsPerSecond)
TIMESERIES

FROM MysqlSample
SELECT max(net.maxUsedConnections)

FROM Metric
SELECT max(mysql.node.net.maxUsedConnections)

Known limitations

• Metric queries with * do not return Infrastructure sample data. For example:

  SELECT * FROM Metric

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• Metric queries with metricName LIKE do not return Infrastructure sample data. For example:

  SELECT uniques(metricName) FROM Metric where metricName like 'k8%'

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• In order to select attributes starting with tags. a metric name has to be provided. For example, this does not work without the WHERE clause:

  SELECT uniques(tags.environment) FROM Metric WHERE metricName='aws.lambda.function.duration'

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• Results may not be complete if the selection criteria matches too many samples. For example, this maps to all Infrastructure samples, and may return incomplete results:

  SELECT uniqueCount(entity.guid) FROM Metric

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• Initially there is no support for the newly introduced metric wildcarding feature, for example:

  SELECT average(host.swap%Bytes) FROM Metric

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• Functions used on multiple metrics may fail or return incorrect results, for example:

  FROM Metric SELECT latest(metricNameA + metricNameB)

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