Netdata uses edge-native architecture that distributes intelligence to each monitored system instead of centralizing data. The same agent binary works identically on AWS, Azure, GCP, VMware, and bare metal - eliminating cloud-specific tools. Metrics, logs and traces stay on your infrastructure while Netdata Cloud provides unified dashboards by distributing queries in real-time. This approach delivers per-second visibility across all clouds with 90% cost reduction versus traditional volume-based pricing.

Netdata supports AWS (EC2, ECS, EKS, Lambda, RDS), Azure (VMs, AKS, Functions, SQL), GCP (GCE, GKE, Cloud Functions, Cloud SQL), VMware (vSphere, vCenter), Kubernetes (EKS, AKS, GKE, OpenShift), and on-premises infrastructure (Linux, Windows, macOS, FreeBSD). The same agent works everywhere with 800+ auto-discovered integrations including databases, web servers, message brokers, containers, and cloud provider APIs.

Netdata uses predictable per-node pricing for infrastructure monitoring, with no charges for metrics volume, Logs Monitoring (querying logs in place), users, data retention or containers. P90 billing excludes brief spikes and your top 3 days each month for predictable costs. One Kubernetes node equals one billable node, with no per-pod charges. No surprise bills from metrics volume spikes, custom metrics taxation, or container misconfiguration. This delivers 90% cost reduction versus traditional per-data-volume pricing models.

Yes. Netdata provides comprehensive monitoring across all clouds through a single platform with superior capabilities: per-second granularity (versus 1-5 minute intervals), edge-native ML anomaly detection, zero configuration setup, and unified dashboards. You can optionally keep cloud-native tools for cloud-specific features while using Netdata for unified visibility, or fully replace them to eliminate tool sprawl and reduce costs by 90%.

Metrics, logs and traces stay on your infrastructure - Netdata Cloud stores zero observability data, only metadata (node names, chart titles, alert configurations). Queries are distributed to Agents and Parents in real-time. For complete air-gapped environments, deploy Netdata Cloud On-Premises on your Kubernetes cluster. This architecture supports GDPR, HIPAA, and regional data residency requirements while maintaining unified visibility across clouds.

Install Netdata Agent on all systems with a single command (Linux/Windows/macOS/FreeBSD). For Kubernetes, deploy via Helm chart. Optionally deploy Parent clusters for centralization (one per ~500 nodes). Connect to Netdata Cloud for unified dashboards or use On-Premises Cloud for air-gapped environments. Total deployment time: 60 seconds for first dashboard, 1-3 days for production-ready enterprise deployment versus weeks/months for traditional platforms.

Netdata monitors EKS, AKS, GKE, and OpenShift with zero configuration via Helm chart deployment. Auto-discovers all pods, containers, services, and Kubernetes resources with per-second visibility. Per-node billing means no per-pod charges and no billing traps. Agent overhead <5% CPU and 150-200 MB RAM per node. Unified dashboards show all Kubernetes clusters across clouds with cross-cluster correlation and anomaly detection.

Yes. Netdata provides native OpenTelemetry support with OTLP ingestion of metrics, logs and traces. Traces are stored on the receiving agent in whichever cloud it runs and explored in the Netdata Cloud Traces tab, next to your metrics and logs. The otel-plugin ingests OTLP data while maintaining Netdata’s edge-native architecture. Export to any TSDB (Prometheus, InfluxDB, Graphite) for vendor neutrality. This prevents lock-in while delivering superior capabilities: per-second granularity, edge-based ML, and zero configuration versus traditional OTel backends.

Netdata trains 18 unsupervised k-means models per metric locally on each node with consensus-based detection (theoretical 10^-36 false positive rate). Models adapt to each cloud’s unique patterns automatically. The Anomaly Advisor correlates anomalies across AWS, Azure, GCP, and on-premises infrastructure - surfacing root cause in top 30-50 metrics. This edge-native approach works without cloud dependencies, data egress, or centralized ML processing.

Netdata Agent uses <5% CPU and 150-200 MB RAM per node - independently validated as the most energy-efficient monitoring solution (University of Amsterdam ICSOC 2023). Storage efficiency: 0.6 bytes per sample. Minimal disk I/O: ~5 KiB/s per Agent. This efficiency enables monitoring at any scale without impacting application performance.

Netdata provides 400+ pre-configured alert templates that work across all clouds with component-level monitoring (per database, per service, not generic thresholds). Alerts evaluate per-second at the edge with 29 notification integrations (PagerDuty, Slack, email, webhooks). Netdata Cloud centralizes alert notifications with deduplication across clouds. Role-based routing ensures alerts reach appropriate teams regardless of cloud provider.

Yes. Netdata’s architecture is designed for hybrid environments. The same agent works on cloud VMs, on-premises servers, containers, and edge devices. Parent-Child architecture handles network boundaries with automatic failover. Netdata Cloud provides unified dashboards across all infrastructure with cross-environment correlation. For air-gapped on-premises sections, deploy Netdata Cloud On-Premises while maintaining connectivity to cloud infrastructure - complete flexibility for any hybrid topology.

Netdata delivers superior capabilities at 90% lower cost: per-second granularity (versus 15-60 seconds), edge-native ML (versus cloud-based), zero configuration (versus weeks of setup), per-node pricing (versus per-data-volume), and 100% data sovereignty (versus vendor custody). Netdata provides comprehensive multi-cloud monitoring with unified visibility and predictable costs.

Netdata provides two levels: Logs Monitoring queries systemd-journal (Linux), Windows Event Logs (WEL/ETW/TL) and macOS unified logs in place, and Logs Management collects, stores and indexes cloud service and application logs from any source through Netdata’s OpenTelemetry logs pipeline. This eliminates Elasticsearch/Splunk infrastructure for 90% cost reduction with 200× query accuracy (analyzes 1M entries versus 5K before sampling). Logs stay on-premises with full-text search and field filtering. For centralization, use Netdata Logs Management, standard systemd-journal-upload or Windows Event Forwarding. Logs correlate directly with metrics from same source - no timestamp matching required.

Netdata provides comprehensive network monitoring via multiple collectors: network interfaces (bandwidth, packets, errors), network connections (active connections, states, bandwidth per connection), and SNMP for network devices. All with per-second granularity across AWS, Azure, GCP, and on-premises. Unified dashboards show network performance across all clouds with automatic anomaly detection and correlation.