netdata

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

⭐ 78,703 stars on GitHub · 🍴 6,426 forks · 📜 License: gpl-3.0 · 💻 Language: C

What is netdata?

Real-time infrastructure monitoring is where Netdata stands out: it gives you per-second visibility without making you build a full observability stack first. Its differentiator is speed-to-insight — install an agent, open the dashboard, and you immediately see what the system is doing.

Main components

• Per-second metrics collection for Linux, macOS, FreeBSD, Windows, containers, databases, services, and applications.
• Built-in interactive dashboards with automatic charts, drilldowns, and correlation across infrastructure layers.
• Zero-configuration auto-discovery for many common services, containers, and system components.
• ML-powered anomaly detection for spotting unusual behavior before it becomes an outage.
• Alerting and health checks for CPU, memory, disks, network, containers, databases, and custom metrics.
• Distributed monitoring model that can keep metrics local instead of forcing everything into a central SaaS backend.
• Lightweight C-based agent designed for low overhead on production systems.

Clear use cases

• Troubleshoot a slow Linux server by seeing CPU, disk I/O, network, memory pressure, and service metrics in real time.
• Monitor Docker hosts and containers without setting up Prometheus, Grafana, exporters, and dashboards manually.
• Give a small DevOps team a fast operational view across web servers, databases, queues, and Kubernetes nodes.
• Detect anomalies in production workloads when traffic patterns, latency, or resource usage suddenly change.
• Run privacy-conscious infrastructure monitoring where raw metrics stay on your own machines or inside your own network.

The biggest strength is instant, high-resolution observability — Netdata is built around “every metric, every second,” and that changes how you debug live systems. Compared with commercial observability platforms that often require agents, collectors, hosted storage, pricing calculations, and dashboard work before they become useful, Netdata gives you practical visibility almost immediately. It is especially strong when you need to answer “what is happening right now?” rather than build a long-term analytics warehouse.

Netdata is not the best fit if you want a pure log analytics platform or a heavily customized enterprise observability pipeline. It can integrate into broader monitoring setups, but its sweet spot is operational troubleshooting, real-time metrics, and fast infrastructure visibility with minimal setup. For lean teams, that is a major advantage: you get useful dashboards, alerts, and anomaly detection without dedicating days to instrumentation work.

Best for sysadmins, SREs, DevOps engineers, and small-to-mid infrastructure teams that need fast, self-hostable, real-time monitoring across servers, containers, and services.

Topics: the project is tagged with popular topics:

• 🏷️ ai
• 🏷️ alerting
• 🏷️ cncf
• 🏷️ data-visualization
• 🏷️ database
• 🏷️ devops
• 🏷️ docker
• 🏷️ grafana
• 🏷️ influxdb
• 🏷️ kubernetes

📸 Screenshots

Quick install

See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:

git clone https://github.com/netdata/netdata.git
cd netdata
docker build -t netdata .
docker run -d -p 8080:8080 netdata

Minimum system requirements

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Resources

• 🔗 GitHub: netdata/netdata
• 🌐 Homepage: https://www.netdata.cloud
• 📚 Official docs: see README in the repo
• 💬 Community: GitHub Issues + Discussions

Article compiled from GitHub data on 05/05/2026. Star/fork counts may have changed — see live numbers via the GitHub link.