Real-Time Infrastructure Intelligence for Modern Tech Teams

Netdata’s edge-native architecture processes data locally where it’s generated, using industry-leading compression (0.6 bytes per sample) and efficient storage. The University of Amsterdam study validated Netdata as the most energy-efficient monitoring solution, using <5% CPU and 150-200 MB RAM per agent - significantly less than traditional centralized solutions.

Netdata uses predictable per-node pricing with unlimited metrics, logs, users, and dashboards. No surprise bills from cardinality explosions or data volume spikes. Traditional platforms charge based on data volume, leading to unpredictable costs - users report monitoring bills reaching 40% of total cloud spend. Netdata delivers 90% cost reduction with predictable P90 usage billing.

Netdata excels at infrastructure monitoring (servers, containers, Kubernetes, networks, hardware) and can replace tools like Prometheus, Grafana, and Elasticsearch for these use cases. For complete observability, supplement Netdata with dedicated APM for code-level profiling (until distributed tracing ships Q2 2026) and RUM for end-user experience. Netdata integrates seamlessly via OpenTelemetry, Prometheus export, and REST API.

Netdata trains 18 unsupervised k-means models per metric locally at the edge, using different time windows. Anomalies are flagged only when ALL models agree (consensus detection). Models train automatically as data arrives, adapting to your infrastructure’s unique patterns without manual tuning or cloud dependency. First ML detection available after 15 minutes of baseline data collection.

Agents are complete monitoring systems installed on each node (collection, storage, ML, alerts, dashboards). Parents aggregate data from multiple Agents for centralized dashboards and high availability - same software, different role. Cloud (SaaS or on-prem) provides unified access, RBAC, team collaboration, and infrastructure-level dashboards. All metrics and logs stay on-premises; only metadata travels to Cloud.

Netdata auto-discovers Kubernetes pods, containers, services, and nodes with zero configuration via Helm chart deployment. Tracks per-pod, per-container, and per-namespace resource usage with per-second granularity. Lifecycle tracking shows ephemeral workloads as they appear and disappear. cgroups v1/v2 introspection provides deep resource accounting without manual metric configuration.

Netdata queries systemd-journal (Linux) and Windows Event Logs directly where they live - no log shipping, no Elasticsearch, no Splunk infrastructure. Every field is automatically indexed by the OS, enabling instant queries across millions of entries. Achieves 90% cost reduction vs traditional log management while maintaining complete history with Forward Secure Sealing for tamper detection.

Distributed edge-native architecture eliminates central bottlenecks. Each Agent operates independently with local storage, ML, and alerting. Parents aggregate data for centralized dashboards while maintaining sub-2-second query latency. Adding nodes doesn’t affect existing performance - proven at 4.5+ billion metrics per second globally. Recommended topology: one Parent cluster per ~500 nodes.

All metrics and logs stay on-premises - Netdata Cloud stores only metadata (node names, chart titles, alert configurations). Outbound-only ACLK connection (MQTT over WSS, port 443) is firewall-friendly and secure. Architecture satisfies GDPR, HIPAA, and PCI compliance requirements by design. On-premises Cloud deployment available for complete air-gapped environments.

At 4.6M metrics/second, Netdata uses 36% less CPU, 88% less RAM, 97% less disk I/O than Prometheus while providing 15× longer retention on the same disk and 16× faster queries. Netdata eliminates the need to assemble and maintain separate tools (Prometheus + Grafana + Loki + Tempo + AlertManager) - everything works out of the box with zero configuration.

Business plan (predictable per-node pricing) includes unlimited metrics, logs, users, and dashboards. ML anomaly detection, AI Insights (10 free sessions/month), RBAC, SSO, SCIM, Windows monitoring, centralized configuration, enterprise notifications, audit logs, and 99.9% SLA. No hidden fees, no per-metric charges, no data volume limits.

Week 1: Pilot on 5-10 nodes, evaluate auto-discovery and dashboards. Week 2: Deploy Parent cluster, configure streaming, test centralized dashboards. Week 3-4: Production rollout via Ansible/Terraform, claim agents to Cloud, configure spaces/rooms/RBAC, set up notifications. Complete enterprise deployment typically achieves full observability within 3-4 weeks.

Agents and Parents continue operating independently with local dashboards, ML, alerts, and storage. Zero monitoring disruption during Cloud outages or network partitions. Agents buffer data locally and replay when connectivity restores. This distributed architecture ensures observability remains available even in extreme conditions.

Yes. Netdata provides native OTLP support for metrics and logs via otelcol.plugin and otel-plugin, with traces planned for Q2 2026. Custom OTel Collector distribution enables vendor-neutral instrumentation. Netdata also exports to Prometheus, InfluxDB, Graphite, and other TSDBs simultaneously - avoiding vendor lock-in while maintaining per-second granularity.

Zero training required. Point-and-click NIDL framework eliminates query languages (no PromQL, LogQL, SQL). Algorithmic dashboards generate automatically. AI assistant answers questions in natural language. Junior engineers get senior-level insights immediately. Most teams achieve full productivity within hours, not weeks.