PathUnderstand how Adaptive Metrics helps you control costs, improve performance, and maintain observability quality as your environment grows.
Estimated time: 1 min
The value of Adaptive Metrics
The value of Adaptive Metrics
As your observability footprint grows, metric data can multiply fast — often faster than you need it to.
Adaptive Metrics is enabled by default, continuously analyzing your metric usage in the background to find optimization opportunities.
This helps you:
- Lower ingestion and storage costs
- Speed up dashboards and queries
- Maintain observability quality as your environment grows
- Automate ongoing optimization to prevent metric sprawl
Common entry points
You can arrive at Adaptive Metrics from different Grafana workflows depending on the problem you’re trying to solve.
| Problem | Entry Point | Why Use Adaptive Metrics |
|---|
| You see a spike in metric ingestion or cost, or receive a Billing & Usage alert | Cost Management & Billing | Identify which metrics drive the increase and reduce redundant series to lower cost |
| Dashboards take too long to load, or Explore queries time out | Dashboards or Explore | Find and optimize high-cardinality metrics causing performance issues |
| Alerts or SLO tracking seem noisy or unstable | Alerting or SLOs | Remove duplicate or overly granular metrics that distort alert conditions |
| You want to maintain consistent performance and cost control | Routine observability hygiene | Review recommendations and automate metric optimization on a schedule |
In the next milestone, you learn how Adaptive Metrics works.