See Every Second of Your Kubernetes Infrastructure

Netdata’s edge-native architecture processes data locally on each node, using <5% CPU and 150-200MB RAM. The University of Amsterdam study (ICSOC 2023) validated Netdata as the most energy-efficient monitoring solution. Data stays local - only metadata travels to Netdata Cloud.

Transparent per-node pricing with unlimited metrics, logs, containers, and users. No data volume charges, no cardinality penalties, no surprise bills. Traditional tools use multi-dimensional pricing with per-host plus per-GB plus per-event plus per-container charges, creating cost unpredictability.

Yes. Netdata monitors all control plane components with proper configuration. Works on self-hosted and managed clusters. Note that some managed services restrict direct access to etcd, scheduler, and controller manager - Netdata can still monitor these through available APIs and metrics endpoints.

Netdata trains 18 unsupervised k-means models per metric locally at the edge using 6-hour windows. Consensus-based detection (all 18 models must agree) achieves 99% false positive reduction. First detection available in 15 minutes, full confidence in 48 hours - no waiting period.

Netdata provides zero-configuration automated dashboards, 400+ pre-configured alerts, ML anomaly detection, and AI troubleshooting - all included. Prometheus + Grafana requires manual dashboard building, PromQL expertise, and separate tools for ML/AI. Netdata is 10× faster to deploy. See detailed comparison at /comparisons/prometheus/

Yes. Netdata supports OTLP metrics and logs ingestion without premium pricing. Distributed tracing support is planned for Q2 2026. Netdata treats OpenTelemetry data the same as native metrics.

Deploy separate Netdata installation per cluster. Each cluster streams to independent Parents. Netdata Cloud provides unified infrastructure view with distributed queries across all Parents. Scales linearly to unlimited clusters.

All metrics and logs stay on-premises. Netdata Agents and Parents continue collecting, storing, and serving local dashboards independently. Cloud provides unified access - not data storage. Your observability remains operational.

For infrastructure monitoring: yes. Netdata provides metrics, logs, ML anomaly detection, AI troubleshooting, and automated dashboards in one platform. For distributed tracing: no - Netdata complements APM platforms like Tempo or Jaeger (tracing support coming Q2 2026).

60 seconds from Helm install to full visibility. Auto-discovery detects nodes, pods, containers, and services. Dashboards generate algorithmically. 400+ alerts work immediately. ML trains automatically. No configuration required for 80% of use cases.

Unlimited metrics, logs, containers, users, dashboards, ML anomaly detection, AI troubleshooting (10 free sessions/month), 400+ pre-configured alerts, and all features. No data volume charges. No hidden fees. P90 billing excludes temporary spikes.

Yes. Netdata monitors Windows nodes and containers with native Windows Event Log support. Unified logging across Linux and Windows platforms. Same per-second granularity and ML anomaly detection.

Edge processing distributes cardinality across nodes - no central bottleneck. Efficient 0.6 bytes/sample storage handles high-cardinality without penalties. All Kubernetes labels captured automatically. No forced label reduction required.

Yes. Netdata Agents and Parents operate completely offline with local dashboards. For centralized multi-cluster view in air-gapped environments, deploy Netdata Cloud On-Premises. All data stays within your infrastructure.

Zero. No query languages (PromQL, LogQL, SQL) required. Point-and-click NIDL framework for analysis. Automated dashboards work immediately. AI troubleshooting in plain English. Junior engineers get senior-level visibility automatically.

Netdata provides per-second granularity (vs 15-second), 90% cost savings, zero container charges, and data sovereignty. Datadog has more integrations and distributed tracing (coming to Netdata Q2 2026). See detailed comparison at /comparisons/datadog/

Yes. Netdata Cloud provides RBAC with SSO via LDAP/AD, Okta, and OIDC. Monitors OOMKilled events, node conditions, and resource constraints. For advanced security monitoring (CVE scanning, runtime threat detection), complement with specialized security tools.

Agents run on each Kubernetes node collecting metrics. Parents aggregate data from multiple Agents for centralized storage and dashboards. Same software, different roles. Agents can offload ML, alerting, and storage to Parents for minimal production impact.

Anomaly Advisor correlates thousands of metrics to surface root cause in top 30-50 results. AI Co-Engineer explains alerts in plain English with recommended actions. Natural language investigations via Model Context Protocol (MCP). Works with Claude, ChatGPT, Gemini.

Netdata provides transparent per-node cost tracking. For namespace-level cost attribution and idle resource detection, integrate external exporters like Kubecost. Netdata focuses on cost efficiency (90% savings) rather than cost allocation.