How to reduce metrics costs with Grafana Cloud Adaptive Metrics
How to reduce metrics costs with Grafana Cloud Adaptive Metrics
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How to reduce metrics costs with Grafana Cloud Adaptive Metrics
How to reduce metrics costs with Grafana Cloud Adaptive Metrics
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How to reduce metrics costs with Grafana Cloud Adaptive Metrics
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Learn how to:
- Identify and eliminate unnecessary high-cardinality labels
- Use Adaptive Metrics to automatically aggregate time series data based on usage patterns
- Continuously adapt your observability stack to minimize data overload and reduce costs
- Set exemptions to ensure essential data is always preserved
- Stay in control of your observability with automated recommendations and updates
Reduce Metrics Costs with Grafana Cloud Adaptive Metrics
Grafana Cloud Adaptive Metrics has helped users save up to 70% on observability costs by automatically aggregating unused and partially used metrics.
This video features a demo on Adaptive Metrics, where you’ll learn what we mean by “adaptive” — automating the process of recommending which metrics to drop while giving you the flexibility to determine any exemptions. This boils down to maintaining effective observability while reducing costs.