Netdata is an open-source, real-time infrastructure monitoring platform written in Go and released under GPL-3.0, built for operators and lean teams who need per-second visibility across Linux, macOS, FreeBSD, and Windows systems.

What it is

Netdata is a real-time infrastructure monitoring platform that collects, stores, visualizes, and alerts on per-second metrics from the nodes it runs on. It is developed primarily in Go under the GPL-3.0 licence, carries an 80,560-star following on GitHub, and sits in the cloud-native ecosystem as a CNCF-listed project. The README describes a three-part architecture, of which the Netdata Agent is the core monitoring engine handling collection, storage, machine learning, alerts, and exports. A Parent-Child centralization model allows agents to stream to a parent node, scaling from a single machine to multi-cloud fleets. Processing happens at the edge, so data stays local unless it is explicitly centralized.

The concrete problem it addresses is resolution and cost. The project's origin story traces to 2013, when a company where creator Costa Tsaousis served as COO lost a significant share of cloud-based transactions to silent failures. The troubleshooting tools available at the time could not identify a root cause, and the conclusion recorded was that monitoring systems offered too few metrics, at too low a resolution, scaled badly, and cost too much to run. Netdata replaces that class of low-resolution, expensive monitoring setup with a zero-configuration agent that publishes every metric every second, and it is positioned directly against Prometheus in the project's own published comparison.

Key capabilities

• Collects and processes metrics at one-second resolution, with visualization that requires no query language to slice and dice data.
• Auto-discovers the workloads and services running on a node, so deployment needs no complex setup or manual metric registration.
• Trains multiple unsupervised machine-learning models per metric at the edge for anomaly detection and issue prediction.
• Stores long-term data at roughly 0.5 bytes per sample using tiered storage for archiving.
• Scales horizontally through Parent-Child centralization, described as handling multi-million samples per second.
• Keeps data on the operator's premises by distributing code rather than centralizing data, with no central collection required.
• Covers infrastructure through to applications, with alerting, dashboards, and integrations catalogued under topics including grafana, influxdb, docker, kubernetes, and database.

Who uses it and how

• Lean operations teams that need full-stack observability without staffing a dedicated monitoring platform group.
• Docker-based and Kubernetes environments; a University of Amsterdam study cited in the README found Netdata the most energy-efficient tool for monitoring Docker-based systems, with favorable CPU and RAM usage and execution time.
• Multi-cloud and multi-node estates, where Netdata Agents stream to a Parent for centralized long-term retention.
• Edge and on-premises deployments that must keep telemetry inside their own boundaries.
• Linux, macOS, FreeBSD, and Windows fleets, all of which the README names as supported platforms.

Getting started

The README points readers to its own Getting Started section and to the project home page at https://www.netdata.cloud, and the topic list names Docker and Kubernetes among the supported deployment targets.

How it compares

Two comparable tools appear in the project's own material: Prometheus, which Netdata addresses through a dedicated published comparison, and Grafana, listed among the project's topics as an integration surface. The distinguishing claims the README makes are per-second resolution, zero-configuration discovery, and edge-based processing that avoids a central data pipeline.

When to use it — and when not to

A self-hoster runs a Netdata Agent on every monitored node and, for centralized retention and fleet-wide views, operates a Parent node as well, so storage sizing and alert routing are the operator's responsibility. Teams that only want a fully managed hosted service, or that cannot place an agent on each host, should look elsewhere, and anyone embedding the code in a proprietary product must weigh the GPL-3.0 copyleft terms. One honest gap: the supplied material names a three-part ecosystem but details only the Netdata Agent, so the Parent and cloud-side components need separate reading before commitment.