See Every Sensor, Gateway, and Edge Device in Real Time

IoT gateways are one part of a larger distributed fleet. If you also run POS terminals, kiosks, robots, EV chargers, or remote and MSP-managed servers, the same edge-resident, parent-child architecture covers all of them with one platform. See the distributed and edge fleet monitoring overview for the full picture, or read what is edge monitoring for the fundamentals.

Netdata’s distributed architecture scales linearly - each device runs a lightweight agent (<5% CPU, 150-200MB RAM standard; <1% CPU, <100MB RAM in minimal mode) that processes data locally. Parent servers aggregate data from hundreds of devices without becoming bottlenecks. Proven deployments monitor 100,000+ devices with consistent performance.

Netdata natively supports SNMP (v1/v2c/v3), HTTP/HTTPS, StatsD, OpenTelemetry, and Prometheus. For sensors, it includes 1-Wire (DS18B20), lm-sensors, IPMI, and UPS monitoring. Custom protocols can be integrated via Python, Go, or Bash collectors. MQTT, CoAP, and LoRaWAN require gateway applications or exporters.

Yes. Each Netdata agent stores data locally and operates independently. During network disruptions, agents buffer data locally and automatically replay when connectivity restores. Retention is configurable to match your connectivity patterns. This ensures zero data loss and continuous monitoring even in challenging network conditions.

Unlike cloud platforms that provide only aggregate metrics, Netdata creates virtual nodes for each SNMP device and tracks per-device metrics natively. The NIDL framework (Nodes, Instances, Dimensions, Labels) enables point-and-click drill-down from fleet-wide views to individual sensors without query languages.

Netdata uses predictable per-node pricing with unlimited metrics and logs - no data volume charges. This is typically 50-90% cheaper than cloud platforms that charge per metric or data volume. See detailed pricing for volume discounts and plan options.

Netdata trains 18 unsupervised k-means models per metric using 6-hour windows. Anomalies are flagged only when ALL models agree (consensus), achieving 99% false positive reduction in anomaly detection. This catches sensor drift, connectivity issues, and performance degradation in real time. First ML detection results are available after 15 minutes of baseline data collection.

Netdata excels at monitoring and observability but doesn’t handle device provisioning, firmware updates, or device authentication. Use Netdata alongside platforms like AWS IoT Device Management or Balena.io for complete IoT lifecycle management. Netdata provides superior visibility into device health and performance.

Netdata runs on Linux (kernel ≥2.6.32), Windows Server 2016+, macOS ≥10.12, and FreeBSD ≥11. ARM architecture is fully supported, making it ideal for Raspberry Pi, BeagleBone, and industrial gateways. Minimal mode uses <1% CPU and <100MB RAM for resource-constrained devices.

Netdata provides unified monitoring across all device types through protocol abstraction and auto-discovery. Extensive SNMP vendor profiles automatically identify Cisco, HP, Aruba, Ubiquiti, and other devices. Custom collectors support proprietary protocols. All devices appear in consistent dashboards regardless of vendor.

Initial agent installation takes ~60 seconds. SNMP auto-discovery scans networks and creates virtual nodes automatically. Dashboards generate algorithmically based on discovered devices. Most deployments achieve full visibility within minutes without manual configuration. ML anomaly detection begins providing results after 15 minutes of baseline collection.

Yes. Netdata’s edge-native architecture is purpose-built for edge computing. Agents process data locally with ML anomaly detection, operate during network disruptions, and minimize bandwidth usage. Parent-child streaming aggregates data from distributed edge locations for centralized visibility.

Netdata provides per-second granularity (vs. minutes), per-device metrics (vs. aggregates only), and significant cost savings. Unlike cloud platforms, Netdata keeps data on-premises for sovereignty and works offline. However, cloud platforms offer device provisioning and firmware management that Netdata doesn’t provide.

Yes. Netdata exports data to Prometheus, InfluxDB, Graphite, OpenTSDB, and TimescaleDB. It also provides a Grafana datasource plugin. This allows gradual migration or hybrid deployments where Netdata handles IoT-specific monitoring while existing tools cover other infrastructure.

Netdata supports TLS 1.2+ encryption for streaming, API key authentication, and certificate-based Agent-to-Cloud connections. All observability data stays on-premises (edge storage) with only metadata sent to Cloud. SOC 2 Type 2 certified with GDPR, HIPAA, PCI DSS alignment by design.

Start with a 14-day free trial or install the open-source agent on a gateway device. Configure SNMP auto-discovery for network devices, or use native collectors for sensors. Dashboards and ML anomaly detection activate automatically. View installation guide.