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The fastest path to AI-powered full stack observability, even for lean teams.

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netdata/netdata

NetdataNetdata

X-Ray Vision for your infrastructure!

Every Metric, Every Second. No BS.


GitHub Stars
Live DemoLatest releaseLatest nightly build
Discourse topicsGitHub Discussions
CII Best PracticesCoverity Scan

User baseServers monitoredSessions servedDocker Hub pulls

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

Warning

Peopleget addicted to Netdata.Once you use it on your systems,there's no going back.

Platforms


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. Clearinsights 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

Energy EfficiencyEnergy efficiency

According to theUniversity 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

FeatureDescriptionWhat Makes It Unique
Real-TimePer-second data collection and processingWorks in a beat – click and see results instantly
Zero-ConfigurationAutomatic detection and discoveryAuto-discovers everything on the nodes it runs
ML-PoweredUnsupervised anomaly detectionTrains multiple ML models per metric at the edge
Long-Term RetentionHigh-performance storage~0.5 bytes per sample with tiered storage for archiving
Advanced VisualizationRich, interactive dashboardsSlice and dice data without query language
Extreme ScalabilityNative horizontal scalingParent-Child centralization with multi-million samples/s
Complete VisibilityFrom infrastructure to applicationsSimplifies operations and eliminates silos
Edge-BasedProcessing at your premisesDistributes code instead of centralizing data

Note

Want to put Netdata to the test against Prometheus?Explore thefull comparison.


Netdata Ecosystem

This three-part architecture enables you to scale from single nodes to complex multi-cloud environments:

ComponentDescriptionLicense
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:

ComponentLinuxFreeBSDmacOSWindows
System Resources
CPU, Memory and system shared resources
FullYesYesYes
Storage
Disks, Mount points, Filesystems, RAID arrays
FullYesYesYes
Network
Network Interfaces, Protocols, Firewall, etc
FullYesYesYes
Hardware & Sensors
Fans, Temperatures, Controllers, GPUs, etc
FullSomeSomeSome
O/S Services
Resources, Performance and Status
Yes
systemd
---
Processes
Resources, Performance, OOM, and more
YesYesYesYes
System and ApplicationLogsYes
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
YesYesYesYes
Packaged Applications
nginx, apache, postgres, redis, mongodb,
and hundreds more
YesYesYesYes
Cloud Provider Infrastructure
AWS, GCP, Azure, and more
YesYesYesYes
Custom Applications
OpenMetrics, StatsD and soon OpenTelemetry
YesYesYesYes

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

You can access the Netdata UI athttp://localhost:19999 (orhttp://NODE:19999 if remote).

2. Configure Collectors

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

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:

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.


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
Loading

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:

CapabilityDescription
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

CNCF Membership

CNCF Logo
Netdata actively supports and is a member of the Cloud Native Computing Foundation (CNCF).
It is one of the most starred projects in theCNCF landscape.


FAQ

Is Netdata secure?

Yes. Netdata followsOpenSSF best practices, has a security-first design, and is regularly audited by the community.

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 theNetdata 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 usealloc orram 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

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

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

📖 Documentation

VisitNetdata Learn for full documentation and guides.

Note

Includes deployment, configuration, alerting, exporting, troubleshooting, and more.


🎉 Community

Join the Netdata community:

Follow us on:Twitter |Reddit |YouTube |LinkedIn


🙏 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

📜 License

The Netdata ecosystem includes:

Packages

 
 
 

Contributors611


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