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Ignore or include Prometheus metrics

Avoid sending Prometheus OpenMetrics integration data that is not relevant to your monitoring needs. Instead, use filters to ignore or include specific metrics. This will help you control the amount and types of data you send to New Relic. This will also help you avoid additional billing charges, as explained in this document.

Prevent billing increases

We use the Prometheus discovery and scrape annotations. If you set the Prometheus OpenMetrics integration to scrape all the available targets and to send all the data that's exposed from those targets, you may exceed New Relic's platform limits and increase your billing charges. To help prevent this from happening, use the integration's filtering capabilities.

For more information, see the Prometheus OpenMetrics integration requirements for Docker. Also see the troubleshooting procedures for NrIntegrationError events.

Identify metrics to ignore or include

To decide what data to include or exclude, use New Relic's Metric API to explore your metric data. Then, refine your filters to scrape only relevant targets and send useful metrics.

  • To filter out unwanted metrics from a target, use the ignore_metrics configuration option.
  • To filter out targets instead of the metrics, use the scrape_enabled_label configuration option.


The histogram and summary metrics type filtering apply to the base name. You can't filter by the _bucket, _sum, or _count time series for that metric.

The nri-prometheus-latest.yaml manifest file includes the nri-prometheus-cfg config map showing an example configuration. The integration will ignore or include metrics before executing the other functions to add, rename, or copy attributes.

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