Professional Infrastructure Reports in Minutes, Not Hours

Netdata’s AI generates comprehensive reports in 2-3 minutes - analyzing thousands of metrics, correlating anomalies, and producing professional documents with recommendations. Traditional manual analysis requires hours to days for equivalent depth.

Netdata provides five core report types: Infrastructure Summary (overall health assessment), Capacity Planning (resource forecasting with exhaustion dates), Performance Optimization (bottleneck identification with specific commands), Anomaly Analysis (pattern detection across metrics), and Root Cause Analysis (incident timelines with remediation steps). All reports include visualizations and actionable recommendations.

No. Netdata’s AI reporting works from installation with zero configuration. The platform automatically discovers infrastructure, trains ML models on collected data, and generates reports based on actual system behavior - no manual threshold tuning, dashboard building, or query language expertise required.

Traditional dashboards require manual investigation - engineers must know what to look for, build queries, and interpret results. Netdata’s AI proactively analyzes entire infrastructure, identifies significant patterns, correlates related issues, and explains findings in plain language. The difference is reactive visualization versus proactive intelligence.

Yes. Configure periodic reports for weekly capacity reviews, monthly performance assessments, or daily health checks. Scheduled AI analysis delivers consistent infrastructure intelligence automatically - ensuring proactive monitoring without requiring dedicated analyst time.

AI receives complete infrastructure context: anomaly-enriched metrics (every query includes ML classification), alert transitions, logs, system topology, and resource utilization. This comprehensive view enables AI to identify interdependencies and patterns invisible when analyzing isolated data sources.

Netdata uses 18 consensus-based ML models per metric - ALL models must agree before flagging anomalies. This approach achieves 99% false positive reduction in anomaly detection. Reports focus on mathematically validated issues, not noisy threshold breaches.

Yes. Generate professional PDF reports with visualizations, executive summaries, and technical details. Exported documents are stakeholder-ready without manual compilation or formatting - suitable for leadership reviews, compliance documentation, or client reporting.

Netdata operates independently with 800+ auto-discovered integrations. While designed as a complete platform, it can complement existing tools - many organizations use Netdata for infrastructure intelligence while maintaining specialized APM for application tracing.

AI reporting is included in Netdata’s predictable per-node pricing with no data volume charges. Business plans include 10 free AI sessions monthly with additional sessions available via credits. No premium tiers, no volume-based fees - comprehensive AI capabilities at predictable cost.

AI Insights generates structured reports (infrastructure summary, capacity planning, performance optimization) on schedule or demand - ideal for periodic reviews and stakeholder communication. AI Chat provides interactive troubleshooting via natural language questions - ideal for live incident investigation. Both access the same comprehensive infrastructure data.

Yes, via Model Context Protocol. Every Netdata Agent/Parent v2.6.0+ is an MCP server - connect your own LLM (Claude, ChatGPT, Gemini, local Ollama) for AI analysis without Cloud dependency. Managed Cloud AI provides scheduled reports and PDF export; MCP enables custom workflows and air-gapped deployments.

AI operates on 100% sample completeness (no sampling), per-second granularity (true patterns, not averages), and consensus-based ML (18 models validate findings). Reports link to source data for verification - engineers can drill down from AI conclusions to raw metrics. Transparency and mathematical validation ensure trustworthy intelligence.

Netdata’s distributed architecture scales from single nodes to 100,000+ node deployments. AI analysis distributes across infrastructure - adding nodes doesn’t degrade performance. Reports can analyze entire infrastructure or specific subsets (by team, service, region) based on your organizational structure.

Install Netdata (60 seconds), wait 15 minutes for initial ML training, then generate first report. From installation to actionable intelligence in under 20 minutes - no configuration, no dashboard building, no query language learning required.