See Network Issues Before They Impact Users

Netdata monitors all standard network interface metrics including bandwidth (RX/TX bytes, packets), error rates (drops, overruns, framing errors), TCP/UDP connection states, network latency, and interface status changes. Additionally, Netdata monitors TCP/IP stack metrics, firewall connection tracking, container networking via cgroups, and SNMP devices with 100+ vendor profiles.

Yes, Netdata provides comprehensive SNMPv3 support with USM (User-Based Security Model) authentication and VACM (View-Based Access Control Model) authorization. The platform includes 100+ pre-configured vendor profiles for Cisco, Arista, Juniper, Palo Alto, FortiGate, F5, and other major network vendors. Auto-discovery of MIBs and OIDs simplifies deployment. Netdata fully supports per-second SNMP polling at scale - the practical collection frequency is determined by each device’s ability to respond and accommodate the polling rate.

Netdata monitors container networking through kernel-level cgroups integration, providing per-pod bandwidth utilization, TCP/UDP connection statistics, service communication patterns, and network policy enforcement visibility. Kubernetes pod networking metrics include ingress/egress traffic, connection tracking, and correlation with host-level network statistics for complete visibility.

Netdata trains 18 unsupervised ML models per metric using different time windows, requiring consensus from all models before flagging anomalies. This achieves approximately 10^-36 theoretical false positive rate compared to 1-5% for traditional threshold-based systems. Dynamic baselines eliminate manual threshold configuration while maintaining high detection accuracy.

Netdata integrates with cloud provider metrics through Prometheus exporters for AWS CloudWatch, EC2, RDS, and GCP GCE. VPC flow log collection requires Prometheus exporter integration. Netdata Cloud provides unified views across hybrid environments with global nodes filtering for cross-environment slicing and correlation analysis.

Netdata installs in 60 seconds with one-line installation. Auto-discovery begins immediately, detecting all network interfaces, SNMP devices, and containers within minutes. Pre-configured dashboards and 400+ alert templates provide immediate visibility without manual configuration. Initial ML-based anomaly detection is available within 15 minutes, with full ML confidence reached in 2 days.

Netdata includes 400+ pre-configured alert templates for network devices and services. Component-level alerts provide dedicated monitoring for each interface, connection, and process. Alert severity levels (critical, warning, clear) enable proper prioritization. ML-based anomaly detection provides additional signal beyond threshold-based alerts for behavioral deviations.

Netdata delivers per-second data collection for hosts and supports the same granularity for SNMP devices capable of sustaining it. Additional advantages include native ML anomaly detection with 18 models per metric (vs. 1-3 models or add-on features), zero-configuration deployment (vs. manual device-by-device setup), and per-node pricing with included AI/ML (vs. premium tiers or volume-based pricing). Netdata’s edge-native architecture scales linearly without central bottlenecks.