NetData

Netdata came out of a failure nobody could explain, where cloud transactions broke silently and no monitoring tool had the resolution to show why. It collects every metric every second and discovers whatever runs on a node by itself, so setup is close to nothing.

The architecture keeps processing at the edge. The Agent handles collection, storage, machine learning, alerts and exports on each machine, while Netdata Cloud adds user management, roles and centralised alerting without pulling metrics into a central store.

A handful of design choices separate it from scrape-and-store metric stacks.

• Per-second collection: data lands and renders immediately rather than at a scrape interval.
• Anomaly detection: multiple unsupervised models are trained per metric on the node itself.
• Tiered storage: roughly half a byte per sample keeps long retention affordable on disk.
• Interactive dashboards: slice and filter the data without learning a query language first.
• Parent-child scaling: nodes centralise into parents handling millions of samples per second.

Coverage spans system resources, storage, network, sensors, processes, logs, containers, virtual machines and synthetic checks, fullest on Linux with FreeBSD, macOS and Windows supported to varying degrees. A University of Amsterdam study rated it the most energy-efficient tool for monitoring Docker-based systems.