Netdata

Netdata delivers autonomous, AI-native infrastructure observability with per-second metrics, distributed edge architecture, and zero configuration. The open-source Netdata Agent installs in 60 seconds, auto-discovers your entire stack, and runs 18 unsupervised ML models per metric locally — no data pipelines, no centralized storage costs, and no query language required. Netdata Cloud provides a unified SaaS or on-premises control plane for teams of any size, with SOC 2 Type 2 certification and complete data sovereignty.

• Zero Configuration — Install the agent and it auto-discovers systems, containers, databases, and applications, generating algorithmic dashboards instantly with no manual setup.
• Per-Second Real-Time Monitoring — Every metric collected every second with sub-2-second total latency, providing 1800× more visibility than 30-second polling tools.
• AI Co-Engineer & Anomaly Detection — Unsupervised ML runs locally on each agent; the AI Co-Engineer performs root cause analysis, blast radius detection, and generates plain-English troubleshooting reports.
• Distributed Edge Architecture — Metrics and logs stay on-premises; only metadata reaches Netdata Cloud, enabling 90% cost reduction versus centralized platforms.
• 800+ Integrations — Auto-discovered collectors for Linux, Windows, Kubernetes, Docker, AWS, GCP, Azure, databases, web servers, and more — all zero-config.
• Logs Management — Zero-pipeline log collection and visualization with powerful search, integrated alongside metrics in the same UI.
• Distributed Alerting & Notifications — Built-in alert engine with integrations for Slack, PagerDuty, Microsoft Teams, email, and webhooks.
• Enterprise Features — Role-based access control (RBAC), SSO/SCIM, audit logs, centralized configuration management, and air-gapped on-premises deployment.
• Mobile Apps — Native iOS and Android apps with push notifications, biometric authentication, and touch-optimized dashboards.
• MCP / AI Chat — Model Context Protocol server connects any MCP-compatible AI (Claude, Cursor, Codex) to your full infrastructure observability data.
• Tiered Retention — Multi-year data retention with tiered storage; the agent uses only ~3 GB disk for over 1 year of per-second metrics.
• Infinite Scalability — Linear horizontal scaling from a single node to 100,000+ systems without architectural changes.