See Every Second. Prevent Every Outage. Simplify Every Operation.

Netdata delivers enterprise-grade monitoring at 90% lower cost with 10-60× faster detection. Traditional DCIM requires weeks to months for deployment. Netdata deploys in 60 seconds with zero configuration - auto-discovering infrastructure and generating dashboards automatically. While traditional DCIM excels at floor plans and 3D visualization, Netdata focuses on real-time operational monitoring with per-second granularity, edge-native ML, and AI-powered troubleshooting that traditional platforms lack.

Yes. Netdata includes extensive SNMP profiles covering major UPS and PDU vendors (APC, Eaton, TrippLite, CyberPower, ServerTech, Raritan, Chatsworth) with automatic device discovery and classification. It monitors battery charge, voltage, current, power factor, per-outlet load, and phase balance at per-second granularity - significantly faster than the 30-60 second industry standard. 400+ pre-configured alerts warn of battery degradation, load capacity issues, and self-test failures before they cause the 54% of outages attributed to power failures.

Netdata collects comprehensive environmental data from IPMI sensors, SNMP environmental monitors (Vertiv Liebert, AVTECH RoomAlert), and hardware sensors at per-second intervals. While it doesn’t include pre-built ASHRAE compliance templates, you can configure alert thresholds (18-27°C, 40-60% RH) and build custom compliance dashboards using the collected data. The per-second granularity and ML anomaly detection provide superior thermal monitoring compared to traditional 30-60 second polling intervals.

Netdata trains 18 unsupervised k-means models per metric using different time windows, requiring unanimous agreement before flagging an anomaly. This consensus-based approach achieves 99% false positive reduction in anomaly detection (theoretical false positive rate: 10^-36). The ML runs continuously at the edge with automatic retraining every 3 hours, adapting to your infrastructure’s unique patterns without configuration. The anomaly flag is stored with every metric sample, enabling historical anomaly analysis and AI-powered root cause detection. Note that ML anomaly detection is a separate observability signal - it does not directly influence alert transitions.

Yes. Netdata Functions provide browser-based access to all essential console tools (top, htop, iostat, netstat, ss, df, free, iotop, systemd journal) with the same per-second precision as SSH debugging - plus history, ML anomaly detection, and AI assistance that SSH lacks. This eliminates SSH requirements for routine diagnostics while improving security (no direct server access needed) and operational efficiency (unified interface with context). Operations teams can troubleshoot faster without jumping between servers.

Netdata focuses on infrastructure monitoring with superior data center support (SNMP, IPMI, native power/environmental monitoring) while observability platforms focus on application performance. Key differences: Netdata offers 90% cost reduction with predictable per-node pricing vs per-metric fees, 10-60× faster detection (per-second vs per-minute), and keeps all data on-premises (complete data sovereignty vs cloud storage). Netdata excels at infrastructure and data center monitoring; observability platforms excel at APM and distributed tracing. Many organizations use both - Netdata for infrastructure, observability platforms for applications.

Netdata provides true multi-tenancy through two-tier isolation: Spaces (physical isolation with separate infrastructure, billing, and users) and Rooms (logical isolation within spaces). This is ideal for MSPs managing multiple customers or enterprises with separate business units. Each space has independent billing, different user roles per space, and complete data isolation. A single login provides access to all spaces, making it easy for MSPs and freelancers to manage multiple clients while maintaining complete customer separation.

Netdata Agents continue operating independently during network outages - collecting data, running ML anomaly detection, evaluating alerts, and serving local dashboards. Data is buffered locally and automatically replicated to Parents when connectivity restores, ensuring zero data loss. Each Agent is a complete monitoring system, not just a data forwarder. This edge-native architecture provides extreme resilience: monitoring continues working even when centralized systems fail, and gaps in charts only appear when the monitored system itself is under severe stress.

Netdata requires standard protocols (SNMP, IPMI, NUT, apcupsd) for device monitoring. Legacy equipment without management interfaces cannot be monitored directly. However, Netdata’s custom SNMP profile system allows you to create vendor-specific profiles for any SNMP-enabled device. For truly legacy equipment, you can use Netdata’s StatsD integration or custom collectors to ingest metrics from external monitoring scripts. The extensive built-in SNMP profiles cover the vast majority of modern data center equipment.

Netdata offers volume discounts with custom pricing above 500 nodes. The predictable per-node pricing includes unlimited metrics, logs, users, and dashboards with no surprise bills from data volume. P90 usage billing excludes daily spikes and top 3 days per month, protecting against load testing or temporary infrastructure expansion. Contact sales for specific pricing at 1000+ nodes.

Yes. Netdata Agents operate completely independently with local dashboards, storage, ML, and alerting - requiring no internet connectivity. For centralized dashboards in air-gapped environments, Netdata Parents provide multi-node visibility without cloud dependency. Netdata Cloud On-Premises is available for organizations requiring the full Cloud control plane within their datacenter. All monitoring data stays on-premises by design (SOC 2 Type 2 certified), with only metadata traveling to Cloud for unified access - making it ideal for regulated industries and government facilities.

Yes. Netdata provides 20+ notification integrations at the Agent/Parent level (PagerDuty, Opsgenie, Slack, Discord, MS Teams, email, webhooks, custom scripts) and additional Cloud-level integrations (Business plan+). Alert transitions stream to both edge and Cloud, enabling flexible notification routing. The REST API v3 with OpenAPI schema supports custom integrations, and the Model Context Protocol (MCP) enables AI assistant integration. While Netdata doesn’t have native ServiceNow connectors, webhooks and API access enable integration with any ITSM platform.

Netdata’s AI-powered Capacity Planning (Business plan, 10 free sessions/month) provides growth trend projections, resource exhaustion forecasting (3-24 month horizon), and specific recommendations for scaling. Uniquely, it uses anomaly-adjusted baselines - incorporating ML-detected anomalies into forecasts for more accurate predictions. For traditional workloads, this provides advanced forecasting. Netdata’s per-second monitoring and rapid alerting provide better real-time detection and response for highly dynamic workloads.

Zero training required. Netdata’s NIDL framework (Nodes, Instances, Dimensions, Labels) provides point-and-click analysis without query languages - no PromQL, SQL, or custom DSLs to learn. Dashboards generate algorithmically based on discovered infrastructure, and 400+ pre-configured alerts work out of the box. The AI Co-Engineer answers questions in natural language, eliminating the need for specialized observability skills. Junior engineers get senior-level visibility automatically, making Netdata ideal for lean teams and 24/7 operations centers with rotating staff. Deployment takes 60 seconds; operational proficiency is immediate.