See Every Millisecond That Matters

Netdata provides per-second metrics (vs 15-60 seconds), OpenTelemetry distributed tracing on the same agent as your metrics and logs, and 18-model ML anomaly detection on metrics at 90% lower cost. Datadog and New Relic add code-level profiling to their APM. For infrastructure monitoring, Netdata leads on granularity, accuracy, and cost.

Yes. Netdata ingests OpenTelemetry traces over OTLP on the same agent that collects your metrics and logs. Spans are stored and indexed on your own infrastructure, and the Traces tab in Netdata Cloud gives you a duration heatmap, filters by service, span name and duration, a full waterfall for every trace, and every span attribute your instrumentation recorded. See distributed tracing. For code-level profiling, pair Netdata with a dedicated APM.

Netdata trains 18 independent k-means models per metric using different time windows. An anomaly is flagged only when ALL 18 models agree, achieving 99% false positive reduction in anomaly detection. This provides a highly accurate additional signal for troubleshooting while maintaining sensitivity to real issues.

From installation to actionable insights in under 60 seconds. One-line install, automatic service discovery, algorithmic dashboards, and ML training happen automatically. No configuration, no dashboard building, no query languages required.

Per-node pricing covers infrastructure monitoring, ML anomaly detection on all metrics, AI troubleshooting (10 AI credits per month in Business), 400+ pre-configured alerts, RBAC, SSO, enterprise integrations, and Windows monitoring, with no charges for metrics volume, Logs Monitoring (querying logs in place), users, data retention or containers. P90 billing excludes temporary spikes. See pricing for current plan details.

Netdata’s edge-native architecture eliminates high-cardinality limits. Each Agent processes its own data locally, avoiding the central TSDB bottleneck that forces other tools to drop attributes. Resources scale linearly per metric, and cardinality issues are isolated to individual agents. Monitor user IDs, session IDs, or any high-dimensional data without performance degradation.

Yes, natively. Helm charts for easy deployment, automatic pod/service discovery, per-second container metrics via cgroups, Kubernetes events collection, and ephemeral pod support through Parent buffering. Netdata’s edge architecture scales linearly with container count.

Metrics, logs and traces stay on your infrastructure. Netdata Cloud provides unified access without storing observability data - only metadata like node names and chart titles. Critical for GDPR, HIPAA, PCI compliance. An on-premises Cloud option is available for air-gapped deployments.

Per-second data reveals exact incident timelines. ML anomaly detection catches issues instantly. Anomaly Advisor correlation engine surfaces root causes in top 30-50 results. AI troubleshooting provides step-by-step guidance. Complete context eliminates tool switching and manual investigation.

Nodes, Instances, Dimensions, Labels - a query-less analysis interface. Point-and-click dropdown menus provide real-time statistics, flexible grouping, and instant filtering without learning PromQL, SQL, or custom query languages. Same power for junior and senior engineers.

Yes. Native Prometheus scraping and Remote Write, OpenTelemetry over OTLP (gRPC or HTTP) for metrics, logs and traces, StatsD, InfluxDB, Graphite, OpenTSDB, TimescaleDB, and more. Export to 27+ systems simultaneously. Grafana datasource plugin available.

Agent: Complete observability engine on each monitored system. Parent: Optional centralization point for aggregation and high availability. Cloud: Smart control plane providing unified access, RBAC, and infrastructure-level dashboards without storing metric, log or trace data.

Two levels. Logs Management collects, stores and indexes application logs from any source through Netdata’s OpenTelemetry logs pipeline, and Logs Monitoring reads systemd-journal directly on Linux (200× more accurate than traditional tools analyzing 1M entries vs 5K before sampling), Windows Event Logs and macOS unified logs in place. No Elasticsearch, no Splunk, and Logs Monitoring (querying logs in place) is not billed. 90% cost reduction for log management.

Agents buffer data locally and automatically reconnect to available Parents. In active-active Parent clusters, Agents failover seamlessly. Each Agent provides its own dashboard, so monitoring continues even during network partitions. Zero data loss through local buffering.

Yes. 14-day Business trial with no limit on nodes. Open source Agent is free forever on any number of nodes (limited to single-node dashboards). The free Community plan is for personal, non-commercial use, up to 5 active connected nodes. View live demo at app.netdata.cloud/spaces/netdata-demo.

Community: GitHub discussions, Discord, forums. Business: Email/ticket support during business hours with SLA. Enterprise: 24/7 support, dedicated team, phone support, custom SLAs. Professional services available for implementation, migration, and training.

In Netdata’s benchmark at 4.6M metrics/second: 36% less CPU, 88% less RAM, 97% less disk I/O, 15× longer retention, 16× faster queries, 100% sample completeness (vs 93.7%). No PromQL required, zero configuration, built-in ML, algorithmic dashboards. Netdata can export to Prometheus for existing workflows.

Netdata charges based on the 90th percentile of daily node usage, excluding the top 3 days per month. Brief spikes and load testing don’t inflate bills. You’re billed for sustained usage, not peaks. Transparent, predictable, fair.

Yes, natively. Windows Performance Counters, Windows Event Logs, ETW, TraceLogging, Hyper-V, IIS, SQL Server, Active Directory monitoring. Same per-second granularity and ML anomaly detection as Linux. Unified monitoring across all platforms.

ML-powered correlation engine that analyzes thousands of metrics simultaneously during incidents. Ranks all metrics by relevance using 4 statistical methods (KS2, Volume, Anomaly Rate, Value/CV). Surfaces root cause in top 30-50 results, shows cascading failure sequence, determines blast radius.