Overview
Features
Real-Time Per-Second Metrics
Per-second data collection and processing with instant results (beat-based data flow).
Zero-Configuration Auto-Discovery
Automatic detection and discovery of metrics across the host; auto-discovers everything on the node.
ML-Powered Anomaly Detection
Unsupervised ML models trained per metric at the edge to detect anomalies.
Long-Term Retention with Tiered Storage
High-performance tiered storage with efficient per-sample footprint and automatic tier selection for retention.
Advanced Visualization
NIDL-based dashboards with auto-generated visualizations; no need for separate query languages.
Edge-Based Processing
Processing and ML at the network edge on-premises, reducing central data movement.
Comprehensive Integrations
800+ integrations for systems, containers, VMs, hardware sensors; OpenMetrics/StatsD; OpenTelemetry coming soon.
Smart Alerting
Pre-configured alerts with multiple notification channels and proactive detection.
Who Is This For?
- IT Ops:Monitor entire infrastructure in real-time; detect and respond to incidents.
- DevOps/SREs:Deploy agents across hosts/containers; auto-discover metrics; configure alerts.
- Platform Engineers:Scale across multi-node environments; centralize dashboards and retention; optional Netdata Cloud.




