Stop Learning About Outages From Users

Yes. The Network Topology Viewer builds live, interactive maps directly in the agent - TCP/UDP connections between processes, containers, and endpoints, plus the SNMP device fabric inferred from LLDP, CDP, BGP, and OSPF. It updates in real time, so during an incident you see actual dependencies and blast radius instead of a static, out-of-date diagram.

Netdata includes 100+ SNMP device profiles for major enterprise vendors: Cisco (switches, routers, ASA firewalls, WLCs), Juniper (EX, QFX, MX series), Aruba (switches, controllers), Palo Alto Networks firewalls, Fortinet FortiGate, F5 BIG-IP, Arista, HPE, Dell, Ubiquiti, MikroTik, and more. Profiles automatically map the right OIDs for interface metrics, CPU, memory, and device-specific counters. SNMPv1, v2c, and v3 (with USM authentication using MD5, SHA, DES, AES) are all supported. See SNMP & Network Device Monitoring.

Netdata polls SNMP devices as fast as each device can respond - the polling frequency is limited by the device’s ability to handle requests, not by Netdata. For host network interfaces (on Linux, Windows, macOS), Netdata collects metrics every second. Traditional NPM tools typically poll at 1-5 minute intervals, which averages out brief congestion events. With Netdata, you see the actual traffic patterns.

You configure your SNMP credentials and target subnets, then enable discovery on designated Netdata agents. Netdata scans the subnets, identifies responding devices, determines device type through system OID matching, and applies the appropriate profile automatically. New devices appearing on the network are discovered on subsequent scans. Note: auto-discovery must be explicitly enabled and configured - it’s not on by default.

Netdata trains 18 ML models per metric that learn your network’s baseline behavior over time. The models understand patterns like ‘high bandwidth at 2PM during business hours is normal’ vs ’the same utilization at 3AM is unusual.’ Anomalies are flagged only when ALL 18 models agree something is wrong - this consensus approach achieves 99% fewer false positives than threshold-based alerting. ML begins detecting anomalies within 15 minutes, with full training confidence in about 2 days.

Yes. Netdata provides unified visibility across your entire infrastructure. On-prem switches and routers are monitored via SNMP. Cloud resources (AWS VPCs, Azure VNets, GCP networks, EC2/VM instances) integrate through Prometheus collectors and cloud-specific integrations. All metrics appear in a single dashboard with labels for filtering by site, environment, or device type. This addresses the 80% of organizations that report visibility blind spots when network traffic crosses to cloud environments.

Yes - natively. Netdata includes a built-in flow analyzer that ingests NetFlow v5/v7/v9, IPFIX, and sFlow v5 directly in the agent, with no packet capture and no separate tool like ntopng to stand up. You get top talkers, Sankey conversation diagrams, geographic traffic maps, and automatic GeoIP/ASN enrichment in real time. See the NetFlow Traffic Analyzer for details.

Yes - natively. Netdata ships a built-in SNMP trap receiver that decodes v1, v2c, and v3 traps and INFORMs, resolves them against vendor MIBs, and turns them into structured, categorized, severity-tagged log entries unified with your metrics and topology - no snmptrapd, SNMPTT, or statsd glue required. Storm controls, health alerts, and SIEM forwarding are built in. See SNMP Trap Monitoring for details.

Alert fatigue is the #1 obstacle to faster incident response - teams start ignoring alerts until a real one bites them. Netdata addresses this through ML-based anomaly detection that achieves 99% false positive reduction, 400+ pre-configured alert templates tuned from real operational experience, and intelligent thresholds that adapt to your traffic patterns. Your team responds to real problems, not statistical noise from static thresholds.

Netdata deploys in minutes: one-line installation on Linux hosts (60 seconds), immediate collection of host network metrics, then configure SNMP credentials and subnets for device discovery. Host dashboards and ML training begin immediately. SNMP devices appear as discovery runs. There’s no weeks of configuration, no manual dashboard building, no PromQL queries to write. Most organizations achieve full network visibility within a few hours.

Yes. Netdata’s distributed architecture means adding nodes doesn’t slow down existing ones. Each agent processes its own data with ML at the edge. Parents aggregate streams without becoming bottlenecks. Organizations run Netdata across 100,000+ nodes with linear resource scaling. In benchmarks at 4.6 million metrics per second, Netdata uses 36% less CPU and 88% less RAM than Prometheus.

All metrics and logs stay on your infrastructure. Netdata processes, stores, and runs ML at the edge. Only metadata (node names, chart titles, alert states) goes to Netdata Cloud for unified dashboards. You maintain complete data sovereignty for GDPR, HIPAA, and PCI DSS compliance. For fully air-gapped environments, on-premises Enterprise deployment is available. SOC 2 Type 2 certified.

Netdata uses predictable per-node pricing with unlimited metrics, interfaces, and SNMP devices included - no per-device or per-element charges. Organizations report 90% cost savings compared to traditional NPM tools that charge per monitored element or use volume-based pricing. No surprise bills when you add devices or increase polling frequency.