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netdata

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

X-Ray Vision for your infrastructure!

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MENU: **[WHO WE ARE](#who-we-are)** | **[KEY FEATURES](#key-features)** | **[GETTING STARTED](#getting-started)** | **[HOW IT WORKS](#how-it-works)** | **[FAQ](#faq)** | **[DOCS](#book-documentation)** | **[COMMUNITY](#tada-community)** | **[CONTRIBUTE](#pray-contribute)** | **[LICENSE](#scroll-license)** > [!WARNING] > People **get addicted to Netdata.** > Once you use it on your systems, *there's no going back.* [![Platforms](https://img.shields.io/badge/Platforms-Linux%20%7C%20macOS%20%7C%20FreeBSD%20%7C%20Windows-blue)]() --- ## 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](https://www.ivanomalavolta.com/files/papers/ICSOC_2023.pdf), 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](https://www.netdata.cloud/blog/netdata-vs-prometheus-2025/). --- ## 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+](https://www.gnu.org/licenses/gpl-3.0) | | **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](https://app.netdata.cloud/LICENSE.txt) | ## 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. --- ## 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](https://learn.netdata.cloud/docs/installing/one-line-installer-for-all-linux-systems) * [macOS](https://learn.netdata.cloud/docs/installing/macos) * [FreeBSD](https://learn.netdata.cloud/docs/installing/freebsd) * [Windows](https://learn.netdata.cloud/docs/netdata-agent/installation/windows) * [Docker Guide](/packaging/docker/README.md) * [Kubernetes Setup](https://learn.netdata.cloud/docs/installation/install-on-specific-environments/kubernetes) > [!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](https://learn.netdata.cloud/docs/data-collection/) * [SNMP monitoring](https://learn.netdata.cloud/docs/data-collection/monitor-anything/networking/snmp) ### 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](https://learn.netdata.cloud/docs/streaming/streaming-configuration-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](https://app.netdata.cloud/sign-in) 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

--- ## How It Works With Netdata you can run a modular pipeline for metrics collection, processing, and visualization. ```mermaid 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](https://learn.netdata.cloud/docs/netdata-agent/#distributed-observability-pipeline) ## 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 | |

原始来源：https://github.com/netdata/netdata#readme