Why use Netdata?

Netdata takes a different approach to helping people build extraordinary infrastructure. It was built out of frustration with existing monitoring tools that are too complex, too expensive, and don't help their users actually troubleshoot complex performance and health issues.

Netdata is:

Simple to deploy

• One-line deployment for Linux distributions, plus support for Kubernetes/Docker infrastructures.
• Zero configuration and maintenance required to collect thousands of metrics, every second, from the underlying OS and running applications.
• Prebuilt charts and alarms alert you to common anomalies and performance issues without manual configuration.
• Distributed storage to simplify the cost and complexity of storing metrics data from any number of nodes.

Powerful and scalable

• 1% CPU utilization, a few MB of RAM, and minimal disk I/O to run the monitoring Agent on bare metal, virtual machines, containers, and even IoT devices.
• Per-second granularity for an unlimited number of metrics based on the hardware and applications you're running on your nodes.
• Interoperable exporters let you connect Netdata's per-second metrics with an existing monitoring stack and other time-series databases.

Optimized for troubleshooting

• Visual anomaly detection with a UI/UX that emphasizes the relationships between charts.
• Customizable dashboards to pinpoint correlated metrics, respond to incidents, and help you streamline your workflows.
• Distributed metrics in a centralized interface to assist users or teams trace complex issues between distributed nodes.

Comparison with other monitoring solutions

Netdata offers many benefits over the existing monitoring landscape, whether they're expensive SaaS products or other open-source tools.

Netdata	Others (open-source and commercial)
High resolution metrics (1s granularity)	Low resolution metrics (10s granularity at best)
Collects thousands of metrics per node	Collects just a few metrics
Fast UI optimized for anomaly detection	UI is good for just an abstract view
Long-term, autonomous storage at one-second granularity	Centralized metrics in an expensive data lake at 10s granularity
Meaningful presentation, to help you understand the metrics	You have to know the metrics before you start
Install and get results immediately	Long sales process and complex installation process
Use it for troubleshooting performance problems	Only gathers statistics of past performance
Kills the console for tracing performance issues	The console is always required for troubleshooting
Requires zero dedicated resources	Require large dedicated resources

What's next?

Whether you already have a monitoring stack you want to integrate Netdata into, or are building something from the ground-up, you should read more on how Netdata can work either standalone or as an interoperable part of a monitoring stack.