Adaptive Telemetry
by Grafana Labs · Cloud infrastructure · New York, United States
AI and machine learning-powered data filtering that identifies valuable telemetry and aggregates the rest to reduce costs.
What Adaptive Telemetry does
- Automatic identification of high-value telemetry data
- Aggregation of lower-priority signals
- Cost reduction up to 80% across metrics, logs and traces
- Preserves data that matters for insights
- Volume-based cost optimization
What Adaptive Telemetry is used for
- Reduce telemetry spend
- Eliminate wasted observability budget
- Scale monitoring without proportional cost increases
- Maintain insight while cutting costs
About Grafana Labs
Full-stack observability platform with AI-powered monitoring, incident response and cost optimization.
Grafana Labs in the vendor registry: its products, features and similar vendors.
Also by Grafana Labs
- Grafana Cloud: Fully managed observability platform combining visualization, analysis, and incident response in one OpenTelemetry-native platform.
- Grafana Assistant: AI-powered assistant embedded in Grafana Cloud for natural language queries and automated incident triage.
- Infrastructure and Cloud Observability: Comprehensive monitoring solution for Kubernetes, cloud providers and infrastructure with AI-powered analysis.
- Grafana: Open source dashboards and visualisation for observability data
- Grafana IRM: Incident response and on-call management
- Adaptive Metrics: Telemetry cost reduction by aggregating unused metrics
More in this category: Cloud and infrastructure providers for financial services.
Weighing up Adaptive Telemetry? Create a free procurement account to run the question as a procurement: Grafana Labs and the alternatives answer your requirements side by side, on the same terms.
Built by Vederca from public sources, last updated 2026-10-18.