Netdata provides per-second metrics (vs. per-minute), 90% cost reduction through predictable per-node pricing, and complete data sovereignty with on-premises storage. Unlike Datadog/New Relic, Netdata requires zero configuration - auto-discovering web servers and generating dashboards instantly. ML-based anomaly detection is built-in (not an add-on), and you get 80% faster MTTR through automated root cause analysis. See detailed comparison.

Yes, Netdata natively supports Apache (mod_status), Nginx (stub_status and Plus API), IIS (Windows Performance Counters), HAProxy, Lighttpd, Litespeed, and 800+ other integrations. All are auto-discovered with zero configuration. You get per-second metrics for requests, response times, error rates, worker status, and resource utilization - plus pre-configured alerts for common issues. View all web server integrations.

Installation takes 60 seconds with a single command. Netdata auto-discovers web servers, generates dashboards, and starts collecting per-second metrics immediately. Pre-configured alerts are active instantly. ML models begin providing anomaly detection results after 15 minutes of baseline data collection. No PromQL, no YAML, no dashboard building required. Most teams achieve complete visibility in under 30 minutes. Get started.

Netdata Business plan uses per-node pricing with P90 billing protection and volume discounts. No charges for metrics volume, Logs Monitoring (querying logs in place), users, data retention or containers. No surprise bills. See pricing details.

Yes, Netdata provides complete Kubernetes monitoring with auto-discovery of pods, containers, services, and nodes. Monitor web servers running in K8s with per-second metrics, ML anomaly detection, and unified logs/metrics correlation. Helm chart deployment takes minutes. Track resource limits, OOM events, and container lifecycle automatically. Learn about Kubernetes monitoring.

Netdata queries systemd-journal (Linux) and Windows Event Logs in place, and collects web server access and error logs with log2journal or through its OpenTelemetry logs pipeline (Logs Management), where every field is indexed. Query millions of log entries with full-field indexing, correlate logs with metrics instantly, and achieve 90% cost reduction vs. Elasticsearch/Splunk. No separate log cluster to deploy or operate. Explore logs management.

Netdata trains 18 unsupervised k-means models per metric locally on each server, achieving 99% false positive reduction in anomaly detection through multi-model consensus. Anomaly Advisor correlates anomalies across infrastructure to surface root cause in top 30-50 results. AI Chat provides natural language troubleshooting. All ML runs at the edge with zero cloud compute charges. Learn about ML features.

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. Instrument the services behind your web servers with OpenTelemetry to follow a request across them. Learn about distributed tracing.

Metrics, logs and traces stay on your infrastructure - Netdata Cloud stores only metadata (node names, chart titles). With role-based access control and encrypted transport, this supports GDPR, HIPAA, and PCI DSS programs. Data never leaves your premises unless you explicitly export it. SOC 2 Type 2 certified with complete RBAC, SSO via OIDC/Okta, and SCIM 2.0 for LDAP/AD integration. Review security design.

Yes, Netdata exports to time-series databases including Prometheus (Remote Write), InfluxDB, Graphite, OpenTSDB, and TimescaleDB. Native Grafana datasource plugin available. You can use Netdata as primary monitoring and export to existing systems for long-term storage or compliance. Zero vendor lock-in. View export options.

Business plan includes email/ticket support during business hours with SLA. Enterprise support offers 24/7 availability, dedicated support teams, phone support, and custom SLAs. Professional services available for implementation assistance, architecture design, migration support, and training programs. Contact sales for enterprise requirements.

Netdata’s edge-native architecture handles extreme cardinality with linear resource scaling and contained impact (cardinality issues can’t cascade) - each agent processes its own metrics locally without centralized bottlenecks. No cardinality limits or additional charges. Automated cardinality protection prevents runaway metrics from affecting the system. Storage efficiency (0.6 bytes/sample) enables years of high-cardinality data in gigabytes. Learn about architecture.

Netdata replaces 3-5 tools for most organizations: infrastructure monitoring (Prometheus/Nagios), log aggregation (Splunk/ELK for infrastructure and application logs, except SIEM and query-language use), dashboard visualization (Grafana for infrastructure), synthetic monitoring (basic checks), and, for OpenTelemetry-instrumented services, a separate tracing backend. For code-level profiling, complement with specialized APM. See integration ecosystem.

Zero query language required - NIDL framework provides point-and-click analysis without PromQL or SQL. Algorithmic dashboards generate automatically. Pre-configured alerts work instantly. Most engineers become productive within 30 minutes. Junior engineers get senior-level visibility automatically. Average onboarding time: hours vs. weeks for traditional tools. Try live demo.

Netdata improves alert quality through component-level alerts that identify specific issues (disk sda3, not generic ‘server down’), hysteresis protection to prevent notification floods, configurable notification delays, and Cloud-level deduplication that consolidates multiple agents reporting the same issue. ML-based anomaly detection provides an additional signal for investigation but operates separately from the alerting system. Learn about alerting.

Each Netdata Agent operates independently with local storage, ML, and alerting. During network partitions, agents continue collecting data and triggering local alerts. When connectivity restores, agents automatically replay buffered data to Parents/Cloud. Zero data loss. Each Agent and Parent also provides its own dashboard for direct access during outages. Understand architecture.

Yes, create custom dashboards with drag-and-drop (no code required). Each chart retains full NIDL interactivity. Customize alert thresholds, notification channels, and escalation policies. 400+ pre-configured alerts provide production-ready baseline. Configuration is infrastructure-as-code friendly (YAML/INI files). Dynamic configuration via Cloud UI for centralized management. Explore customization.

Netdata’s edge-native architecture scales linearly - adding nodes doesn’t degrade existing performance. Proven deployments at 100,000+ nodes processing 4.5+ billion metrics/second globally. Each agent uses <5% CPU and 150-200 MB RAM. Parents handle ~500 nodes each (2M metrics/s) with 20 cores and 80 GB RAM. No architectural changes required as you scale. Learn about scalability.

Open-source Netdata Agent is free forever on any number of nodes (single-node dashboards). Netdata Cloud Community plan includes up to 5 active connected nodes on multi-node dashboards, 4-hour alert retention, and 1 custom dashboard (personal, non-commercial use only). Business plan (per-node pricing) removes the custom dashboard limit and adds AI features (10 AI credits per month), SSO and SCIM. Compare plans.

Deploy Netdata alongside Prometheus initially. Compare resource usage (Netdata benchmark shows 36% less CPU, 88% less RAM, 97% less disk I/O at 4.6M metrics/s). Export Netdata metrics to Prometheus if needed during transition. Use Netdata Grafana datasource plugin to maintain existing dashboards. Gradually shift to Netdata’s algorithmic dashboards. Decommission Prometheus when confident. Migration typically takes 1-2 months. See comparison.

See the NGINX operations guides: vendor-neutral runbooks for connection and file-descriptor exhaustion, upstream cascade failures, buffer spill to disk, TLS CPU saturation, and listen-queue overflow. Each covers detection, diagnosis, and prevention, and shows the per-second signals Netdata surfaces to catch them early.

See the HAProxy operations guides: vendor-neutral runbooks for maxconn saturation, backend queue buildup, health-check cascades, 5xx attribution between the proxy and its backends, and file-descriptor exhaustion. Each covers detection, diagnosis, and prevention, and shows the per-second frontend, backend, and queue signals Netdata surfaces to catch them early.