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Adaptive Metrics

Adaptive Metrics is a metrics management and cardinality optimization feature in Grafana Cloud that enables you to identify and eliminate unused time series data through aggregation.

Overview

Grafana Adaptive Metrics helps you take control of your growing metric volume and associated costs in Grafana Cloud.

By analyzing how your metrics are being used across dashboards, alerts, recording rules and queries, it provides recommendations for aggregating underutilized metrics into lower-cardinality versions. It then continuously reanalyzes your usage, updating its recommendations to reflect changes in your observability needs.

Why use Adaptive Metrics?

  • Get automatic recommendations based on how you actually use your metrics in Grafana, helping you easily identify and reduce unused data.
  • Apply, remove, or adjust recommendations with ease through an interactive interface or automate with the API within your existing processes.
  • Your existing dashboards, alerts, and queries continue to work seamlessly with the aggregated metrics, requiring no manual updates.

Explore

Introduction
Learn more about the fundamentals and available features that help you optimize your use of Adaptive Metrics.
Review and manage recommendations
Filter, review, and edit recommendations to suit your needs.
Create rules
Create and manage rules using the UI, API, or Terraform.
Create exemptions
Create exemptions to prevent certain metrics or labels from being included in recommendations.
Additional configuration
Configure your set up of Adaptive Metrics.