Reduce costs with Prometheus cardinality optimization

Eliminate unused metrics via custom cardinality optimizations that adapt to your cloud native environment with the Adaptive Metrics feature. Reduce metric cardinality and costs – all within the fully managed Grafana Cloud platform.

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Adaptive Metrics

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Reduce observability costs

Pay only for metrics that you use by eliminating time series that are never or rarely leveraged.

Control metrics explosion

Reduce metric time series by 20-50% with zero changes needed to your applications or remote-write setup.

Optimize without fear

Recommended aggregations respect historic usage patterns; they won’t break existing dashboards, alerts, or previously run queries.

Control your Prometheus cardinality with Grafana Cloud

Customized cardinality reduction

Adaptive Metrics continuously analyzes your incoming metrics and compares them to your dashboards, rules, and query logs. You’ll get tailored recommendations that reflect your usage patterns, allowing you to filter out unused time series.

Reduction in metric time series with Adaptive Metrics

Recommendation rule generated by Adaptive Metrics

Seamless integration into existing workflows

Choose the recommendation rules you want to apply, remove, or update with a single click through an interactive UI. Or you can use the API to view, update, change, or override rules, all managed within your CI/CD processes.

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Zero disruptions to operations

Aggregated metrics keep their original name, which means you don’thave to change your queries, alerts, or dashboards after applying them.

Roll back on demand

Observability is never static: Prometheus cardinality eliminated today may be needed tomorrow. When that happens, unapply the aggregation rule with one click. Going forward, you’ll have access to the raw metric with all its labels.

How Adaptive Metrics works

Adaptive Metrics recommends aggregations to reduce persisted time series

Analyze

Unused metrics and labels are identified by usage history.

Recommend

Customized aggregation rules are suggested for your environment.

Reduce

You choose which aggregation rules to apply to lower the count of persisted time series.

Integrate

Dashboards, alerts, and queries use persisted time series, ensuring seamless operation of existing observability artifacts.

Adapt

Analysis is continuous, so changes in dashboards, alerts, and query patterns prompt new aggregation suggestions.

“We carefully watch our metric and cost consumption, and in the past we manually evaluated every metric to identify what to drop, which was extremely time consuming and a tedious process. Grafana Cloud Adaptive Metrics simplified this process for us by generating recommendations curated for our environment, reducing the amount of time spent by half. I wish I had this feature sooner.”

Lydia Clarke

DevOps Engineer at SailPoint

“After getting some of our early wins with Grafana Cloud, we decided to incorporate even more of the functionality into our workflows. I recently tried Adaptive Metrics, and after about two hours of checking out the feature, I was able to save 15% on our metrics costs. As we have more time, I’m sure we’ll find even more ways to optimize things going forward.”

Nick Adolf

Staff SRE at OpenGov