X-Ray Vision for your infrastructure!

Every Metric, Every Second. No BS.

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MENU: WHO WE ARE | KEY FEATURES | GETTING STARTED | HOW IT WORKS | FAQ | DOCS | COMMUNITY | CONTRIBUTE | LICENSE

[!WARNING] People get addicted to Netdata. Once you use it on your systems, there's no going back.

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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.

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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.

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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	GPL v3+
Netdata Cloud	• Enterprise features • User management, RBAC, horizontal scaling • Centralized alerts • Free community tier • No metric storage centralization
Netdata UI	• Dashboards and visualizations • Free to use • Included in standard packages • Latest version via CDN	NCUL1

What You Can Monitor

With Netdata you can monitor all these components across platforms:

Component	Linux	FreeBSD	macOS	Windows
System Resources CPU, Memory and system shared resources	Full	Yes	Yes	Yes
Storage Disks, Mount points, Filesystems, RAID arrays	Full	Yes	Yes	Yes
Network Network Interfaces, Protocols, Firewall, etc	Full	Yes	Yes	Yes
Hardware & Sensors Fans, Temperatures, Controllers, GPUs, etc	Full	Some	Some	Some
O/S Services Resources, Performance and Status	Yes systemd	-	-	-
Processes Resources, Performance, OOM, and more	Yes	Yes	Yes	Yes
System and Application Logs	Yes systemd-journal	-	-	Yes Windows Event Log, ETW
Network Connections Live TCP and UDP sockets per PID	Yes	-	-	-
Containers Docker/containerd, LXC/LXD, Kubernetes, etc	Yes	-	-	-
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.

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Getting Started

You can install Netdata on all major operating systems. To begin:

1. Install Netdata

Choose your platform and follow the installation guide:

• Linux Installation
• macOS
• FreeBSD
• Windows
• Docker Guide
• Kubernetes Setup

[!NOTE] You can access the Netdata UI at http://localhost:19999 (or http://NODE:19999 if remote).

2. Configure Collectors

Netdata auto-discovers most metrics, but you can manually configure some collectors:

• All collectors
• SNMP monitoring

3. Configure Alerts

You can use hundreds of built-in alerts and integrate with:

email, Slack, Telegram, PagerDuty, Discord, Microsoft Teams, and more.

[!NOTE]
Email alerts work by default if there's a configured MTA.

4. Configure Parents

You can centralize dashboards, alerts, and storage with Netdata Parents:

• Streaming Reference

[!NOTE]
You can use Netdata Parents for central dashboards, longer retention, and alert configuration.

5. Connect to Netdata Cloud

Sign in to Netdata Cloud and connect your nodes for:

• Access from anywhere
• Horizontal scalability and multi-node dashboards
• UI configuration for alerts and data collection
• Role-based access control
• Free tier available

[!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.

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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:

1. Collect – Gather metrics from systems, containers, apps, logs, APIs, and synthetic checks.
2. Store – Save metrics to a high-efficiency, tiered time-series database.
3. Learn – Train ML models per metric using recent behavior.
4. Detect – Identify anomalies using trained ML models.
5. Check – Evaluate metrics against pre-set or custom alert rules.
6. Stream – Send metrics to Netdata Parents in real time.
7. Archive – Export metrics to Prometheus, InfluxDB, OpenTSDB, Graphite, and others.
8. Query – Access metrics via an API for dashboards or third-party tools.
9. Score – Use a scoring engine to find patterns and correlations across metrics.

[!NOTE]
Learn more: Netdata's architecture

Agent Capabilities

With the Netdata Agent, you can use these core capabilities out-of-the-box:

Capability	Description
Comprehensive Collection	• 800+ integrations • Systems, containers, VMs, hardware sensors • OpenMetrics, StatsD, and logs • OpenTelemetry support coming soon
Performance & Precision	• Per-second collection • Real-time visualization with 1-second latency • High-resolution metrics
Edge-Based ML	• ML models trained at the edge • Automatic anomaly detection per metric • Pattern recognition based on historical behavior
Advanced Log Management	• Direct systemd-journald and Windows Event Log integration • Process logs at the edge • Rich log visualization
Observability Pipeline	• Parent-Child relationships • Flexible centralization • Multi-level replication and retention
Automated Visualization	• NIDL data model • Auto-generated dashboards • No query language needed
Smart Alerting	• Pre-configured alerts • Multiple notification methods • Proactive detection
Low Maintenance	• Auto-detection • Zero-touch ML • Easy scalability • CI/CD friendly
Open & Extensible	• Modular architecture • Easy to customize • Integrates with existing tools

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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.

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FAQ

Is Netdata secure?

Yes. Netdata follows [OpenSSF best practices](https://bestpractices.coreinfrastructure.org/en/projects/2231), has a security-first design, and is regularly audited by the community. * [Security design](https://learn.netdata.cloud/docs/security-and-privacy-design) * [Security policies and advisories](https://github.com/netdata/netdata/security)

Does Netdata use a lot of resources?

No. Even with ML and per-second metrics, Netdata uses minimal resources. * \~5% CPU and 150MiB RAM by default on production systems * <1% CPU and \~100MiB RAM when ML and alerts are disabled and using ephemeral storage * Parents scale to millions of metrics per second with appropriate hardware > You can use the **Netdata Monitoring** section in the dashboard to inspect its resource usage.

How much data retention is possible?

As much as your disk allows. With Netdata you can use tiered retention: * Tier 0: per-second resolution * Tier 1: per-minute resolution * Tier 2: per-hour resolution These are queried automatically based on the zoom level.

Can Netdata scale to many servers?

Yes. With Netdata you can: * Scale horizontally with many Agents * Scale vertically with powerful Parents * Scale infinitely via Netdata Cloud > You can use Netdata Cloud to merge many independent infrastructures into one logical view.

Is disk I/O a concern?

No. Netdata minimizes disk usage: * Metrics are flushed to disk every 17 minutes, spread out evenly * Uses direct I/O and compression (ZSTD) * Can run entirely in RAM or stream to a Parent > You can use `alloc` or `ram` mode for no disk writes.

How is Netdata different from Prometheus + Grafana?

With Netdata you get a complete monitoring solution—not just tools. * No manual setup or dashboards needed * Built-in ML, alerts, dashboards, and correlations * More efficient and easier to deploy > [Performance comparison](https://blog.netdata.cloud/netdata-vs-prometheus-performance-analysis/)

How is Netdata different from commercial SaaS tools?

With Netdata you can store all metrics on your infrastructure—no sampling, no aggregation, no loss. * High-resolution metrics by default * ML per metric, not shared models * Unlimited scalability without skyrocketing cost

Can Netdata run alongside Nagios, Zabbix, etc.?

Yes. You can use Netdata together with traditional tools. With Netdata you get: * Real-time, high-resolution monitoring * Zero configuration and auto-generated dashboards * Anomaly detection and advanced visualization

What if I feel overwhelmed?

You can start small: * Use the dashboard's table of contents and search * Explore anomaly scoring ("AR" toggle) * Create custom dashboards in Netdata Cloud > [Docs and guides](https://learn.netdata.cloud/guides)

Do I have to use Netdata Cloud?

No. Netdata Cloud is optional. Netdata works without it, but with Cloud you can: * Access remotely with SSO * Save dashboard customizations * Configure alerts centrally * Collaborate with role-based access

What telemetry does Netdata collect?

Anonymous telemetry helps improve the product. You can disable it: * Add `--disable-telemetry` to the installer, or * Create `/etc/netdata/.opt-out-from-anonymous-statistics` and restart Netdata > Telemetry helps us understand usage, not track users. No private data is collected.

Who uses Netdata?

You'll join users including: * Major companies (Amazon, ABN AMRO Bank, Facebook, Google, IBM, Intel, Netflix, Samsung) * Universities (NYU, Columbia, Seoul National, UCL) * Government organizations worldwide * Infrastructure-intensive organizations * Technology operators * Startups and freelancers * SysAdmins and DevOps professionals

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\:book: Documentation

Visit Netdata Learn for full documentation and guides.

[!NOTE]
Includes deployment, configuration, alerting, exporting, troubleshooting, and more.

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\:tada: Community

Join the Netdata community:

• Discord
• Forum
• GitHub Discussions

[!NOTE]
Code of Conduct

Follow us on: Twitter | Reddit | YouTube | LinkedIn

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\:pray: Contribute

We welcome your contributions.

Ways you help us stay sharp:

• Share best practices and monitoring insights
• Report issues or missing features
• Improve documentation
• Develop new integrations or collectors
• Help users in forums and chats

[!NOTE]
Contribution guide

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\:scroll: License

The Netdata ecosystem includes:

• Netdata Agent – Open-source core (GPLv3+). Includes data collection, storage, ML, alerting, APIs and redistributes several other open-source tools and libraries.
  • Netdata Agent License
  • Netdata Agent Redistributed
• Netdata UI – Closed-source but free to use with Netdata Agent and Cloud. Delivered via CDN. It integrates third-party open-source components.
  • Netdata Cloud UI License
  • Netdata UI third-party licenses
• Netdata Cloud – Closed-source, with free and paid tiers. Adds remote access, SSO, scalability.