[!WARNING]
People get addicted to Netdata.
Once you use it on your systems, there's no going back.
WHO WE ARE
Netdata is an open-source, real-time infrastructure monitoring platform. Monitor, detect, and act across your entire infrastructure.
Core Advantages:
Instant Insights – With Netdata you can access per-second metrics and visualizations.
Zero Configuration – You can deploy immediately without complex setup.
ML-Powered – You can detect anomalies, predict issues, and automate analysis.
Efficient – You can monitor with minimal resource usage and maximum scalability.
Secure & Distributed – You can keep your data local with no central collection needed.
With Netdata, you get real-time, per-second updates. Clear insights at a glance, no complexity.
All heroes have a great origin story. Click to discover ours.
In 2013, at the company where Costa Tsaousis was COO, a significant percentage of their cloud-based transactions failed silently, severely impacting business performance.
Costa and his team tried every troubleshooting tool available at the time. None could identify the root cause. As Costa later wrote:
“I couldn’t believe that monitoring systems provide so few metrics and with such low resolution, scale so badly, and cost so much to run.”
Frustrated, he decided to build his own monitoring tool, starting from scratch.
That decision led to countless late nights and weekends. It also sparked a fundamental shift in how infrastructure monitoring and troubleshooting are approached, both in method and in cost.
Most Energy-Efficient Monitoring Tool
According to the University of Amsterdam study, Netdata is the most energy-efficient tool for monitoring Docker-based systems. The study also shows Netdata excels in CPU usage, RAM usage, and execution time compared to other monitoring solutions.
Key Features
Feature
Description
What Makes It Unique
Real-Time
Per-second data collection and processing
Works in a beat – click and see results instantly
Zero-Configuration
Automatic detection and discovery
Auto-discovers everything on the nodes it runs
ML-Powered
Unsupervised anomaly detection
Trains multiple ML models per metric at the edge
Long-Term Retention
High-performance storage
~0.5 bytes per sample with tiered storage for archiving
Advanced Visualization
Rich, interactive dashboards
Slice and dice data without query language
Extreme Scalability
Native horizontal scaling
Parent-Child centralization with multi-million samples/s
Complete Visibility
From infrastructure to applications
Simplifies operations and eliminates silos
Edge-Based
Processing at your premises
Distributes code instead of centralizing data
[!NOTE] Want to put Netdata to the test against Prometheus?
Explore the full comparison.
Netdata Ecosystem
This three-part architecture enables you to scale from single nodes to complex multi-cloud environments:
Component
Description
License
Netdata Agent
• Core monitoring engine • Handles collection, storage, ML, alerts, exports • Runs on servers, cloud, K8s, IoT • Zero production impact
VMs (from the host) KVM, qemu, libvirt, Proxmox, etc
Yes cgroups
-
-
Yes Hyper-V
Synthetic Checks Test APIs, TCP ports, Ping, Certificates, etc
Yes
Yes
Yes
Yes
Packaged Applications nginx, apache, postgres, redis, mongodb, and hundreds more
Yes
Yes
Yes
Yes
Cloud Provider Infrastructure AWS, GCP, Azure, and more
Yes
Yes
Yes
Yes
Custom Applications OpenMetrics, StatsD and soon OpenTelemetry
Yes
Yes
Yes
Yes
On Linux, you can continuously monitor all kernel features and hardware sensors for errors, including Intel/AMD/Nvidia GPUs, PCI AER, RAM EDAC, IPMI, S.M.A.R.T, Intel RAPL, NVMe, fans, power supplies, and voltage readings.
Getting Started
You can install Netdata on all major operating systems. To begin:
1. Install Netdata
Choose your platform and follow the installation guide:
[!NOTE] Netdata Cloud is optional. Your data stays in your infrastructure.
Live Demo Sites
See Netdata in action FRANKFURT |
NEWYORK |
ATLANTA |
SANFRANCISCO |
TORONTO |
SINGAPORE |
BANGALORE These demo clusters run with default configuration and show real monitoring data. Choose the instance closest to you for the best performance.
How It Works
With Netdata you can run a modular pipeline for metrics collection, processing, and visualization.
flowchart TB
A[Netdata Agent]:::mainNode
A1(Collect):::green --> A
A2(Store):::green --> A
A3(Learn):::green --> A
A4(Detect):::green --> A
A5(Check):::green --> A
A6(Stream):::green --> A
A7(Archive):::green --> A
A8(Query):::green --> A
A9(Score):::green --> A
classDef green fill:#bbf3bb,stroke:#333,stroke-width:1px,color:#000
classDef mainNode fill:#f0f0f0,stroke:#333,stroke-width:1px,color:#333
With each Agent you can:
Collect – Gather metrics from systems, containers, apps, logs, APIs, and synthetic checks.
Store – Save metrics to a high-efficiency, tiered time-series database.
Learn – Train ML models per metric using recent behavior.
Detect – Identify anomalies using trained ML models.
Check – Evaluate metrics against pre-set or custom alert rules.
Stream – Send metrics to Netdata Parents in real time.
Archive – Export metrics to Prometheus, InfluxDB, OpenTSDB, Graphite, and others.
Query – Access metrics via an API for dashboards or third-party tools.
Score – Use a scoring engine to find patterns and correlations across metrics.
• Modular architecture • Easy to customize • Integrates with existing tools
CNCF Membership
Netdata actively supports and is a member of the Cloud Native Computing Foundation (CNCF).
It is one of the most starred projects in the CNCF landscape.
FAQ
Is Netdata secure?
Yes. Netdata follo
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Netdata 是一个开源的实时基础设施监控平台，能够以秒为单位采集指标，将其可视化，并利用机器学习检测异常。