netdata

The fastest path to AI-powered full stack observability, even for lean teams.

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About netdata

The fastest path to AI-powered full stack observability, even for lean teams.

Netdata is a revolutionary open-source AI-powered observability platform that delivers real-time, high-fidelity monitoring for entire IT infrastructures. It uniquely combines generative AI capabilities with full-stack observability, enabling lean teams to achieve enterprise-grade insights without complexity. By automatically collecting thousands of metrics per second from systems, containers, applications, and databases, it provides instant anomaly detection, intelligent alerting, and actionable visualizations. Its AI-driven engine proactively identifies performance bottlenecks, predicts issues, and suggests optimizations, transforming raw data into clear operational intelligence. As a CNCF project, it integrates seamlessly with Kubernetes, Docker, Prometheus, and Grafana while remaining completely free and GitHub-hosted. Netdata's lightweight C core ensures minimal overhead, making it the fastest path from data to insight for DevOps, SREs, and developers seeking to harness AI for observability.

Common Use Cases

  • Real-time Kubernetes cluster monitoring with AI-powered anomaly detection and automatic root cause analysis
  • Comprehensive database performance monitoring for PostgreSQL, MySQL, and MongoDB with predictive capacity planning
  • End-to-end application observability by correlating metrics, logs, and traces across microservices and containers
  • Infrastructure monitoring for hybrid clouds with intelligent alerting that reduces noise and pinpoints critical issues
  • DevOps team collaboration through shared, interactive dashboards and automated incident response workflows
★★★½☆
3.9
78,307 users
Trending
Generative AIFreeaialertingcncf

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Key Features

  • C
  • Open Source
  • GitHub Hosted

How to Get Started

1. Install Netdata with a single command: `bash <(curl -Ss https://my-netdata.io/kickstart.sh)` 2. Access the real-time dashboard at http://localhost:19999 to see automatic metrics collection 3. Configure AI alerts via the web UI or edit /etc/netdata/netdata.conf 4. Integrate with existing tools like Prometheus or Grafana using built-in exporters 5. Explore pre-built ML models for anomaly detection in your metrics

Usage Statistics

Active Users

78,307

API Calls

6,396,000

Additional Information

Category

Generative AI

Pricing

Free

Last Updated

4/3/2026

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