[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-398":3},{"id":4,"name":5,"fullName":6,"owner":5,"repo":5,"description":7,"homepage":8,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":44,"readmeContent":45,"aiSummary":46,"trendingCount":15,"starSnapshotCount":15,"syncStatus":47,"lastSyncTime":48,"discoverSource":49},398,"netdata","netdata\u002Fnetdata","The fastest path to AI-powered full stack observability, even for lean teams.","https:\u002F\u002Fwww.netdata.cloud",null,"C",79173,6452,1336,176,0,7,78,347,45,114,"GNU General Public License v3.0",false,"master",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,5,41,42,43],"ai","alerting","cncf","data-visualization","database","devops","docker","grafana","influxdb","kubernetes","linux","machine-learning","mcp","mongodb","monitoring","mysql","observability","postgresql","prometheus","2026-06-17 04:00:03","\u003Cp align=\"center\">\n\u003Ca href=\"https:\u002F\u002Fwww.netdata.cloud#gh-light-mode-only\">\n  \u003Cimg src=\"https:\u002F\u002Fwww.netdata.cloud\u002Fimg\u002Freadme-images\u002Fnetdata_readme_logo_light.png\" alt=\"Netdata\" width=\"300\"\u002F>\n\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fwww.netdata.cloud#gh-dark-mode-only\">\n  \u003Cimg src=\"https:\u002F\u002Fwww.netdata.cloud\u002Fimg\u002Freadme-images\u002Fnetdata_readme_logo_dark.png\" alt=\"Netdata\" width=\"300\"\u002F>\n\u003C\u002Fa>\n\u003C\u002Fp>\n\u003Ch3 align=\"center\">X-Ray Vision for your infrastructure!\u003C\u002Fh3>\n\u003Ch4 align=\"center\">Every Metric, Every Second. No BS.\u003C\u002Fh4>\n\n\u003Cbr \u002F>\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002F\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fnetdata\u002Fnetdata?style=social\" alt=\"GitHub Stars\">\u003C\u002Fa>\n  \u003Cbr \u002F>\n  \u003Ca href=\"https:\u002F\u002Fapp.netdata.cloud\u002Fspaces\u002Fnetdata-demo?utm_campaign=github_readme_demo_badge\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLive%20Demo-green\" alt=\"Live Demo\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Freleases\u002Flatest\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease\u002Fnetdata\u002Fnetdata.svg\" alt=\"Latest release\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata-nightlies\u002Freleases\u002Flatest\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Frelease\u002Fnetdata\u002Fnetdata-nightlies.svg\" alt=\"Latest nightly build\">\u003C\u002Fa>\n  \u003Cbr\u002F>\n  \u003Ca href=\"https:\u002F\u002Fcommunity.netdata.cloud\">\u003Cimg alt=\"Discourse topics\" src=\"https:\u002F\u002Fimg.shields.io\u002Fdiscourse\u002Ftopics?server=https%3A%2F%2Fcommunity.netdata.cloud%2F&logo=discourse&label=discourse%20forum\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Fdiscussions\">\u003Cimg alt=\"GitHub Discussions\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fdiscussions\u002Fnetdata\u002Fnetdata?logo=github&label=github%20discussions\">\u003C\u002Fa>\n  \u003Cbr\u002F>\n  \u003Ca href=\"https:\u002F\u002Fbestpractices.coreinfrastructure.org\u002Fprojects\u002F2231\">\u003Cimg src=\"https:\u002F\u002Fbestpractices.coreinfrastructure.org\u002Fprojects\u002F2231\u002Fbadge\" alt=\"CII Best Practices\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fscan.coverity.com\u002Fprojects\u002Fnetdata-netdata?tab=overview\">\u003Cimg alt=\"Coverity Scan\" src=\"https:\u002F\u002Fimg.shields.io\u002Fcoverity\u002Fscan\u002Fnetdata\">\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fregistry.my-netdata.io\u002F#menu_netdata_submenu_registry\">\u003Cimg src=\"https:\u002F\u002Fregistry.my-netdata.io\u002Fapi\u002Fv3\u002Fbadge.svg?chart=netdata.registry_entries&dimensions=persons&label=user%20base&units=M&value_color=blue&precision=2&divide=1000000&options=unaligned&tier=1&v44\" alt=\"User base\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fregistry.my-netdata.io\u002F#menu_netdata_submenu_registry\">\u003Cimg src=\"https:\u002F\u002Fregistry.my-netdata.io\u002Fapi\u002Fv3\u002Fbadge.svg?chart=netdata.registry_entries&dimensions=machines&label=servers%20monitored&units=M&divide=1000000&value_color=orange&precision=2&options=unaligned&tier=1&v44\" alt=\"Servers monitored\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fregistry.my-netdata.io\u002F#menu_netdata_submenu_registry\">\u003Cimg src=\"https:\u002F\u002Fregistry.my-netdata.io\u002Fapi\u002Fv3\u002Fbadge.svg?chart=netdata.registry_sessions&label=sessions%20served&units=M&value_color=yellowgreen&precision=2&divide=1000000&options=unaligned&tier=1&v44\" alt=\"Sessions served\">\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fhub.docker.com\u002Fr\u002Fnetdata\u002Fnetdata\">\u003Cimg src=\"https:\u002F\u002Fregistry.my-netdata.io\u002Fapi\u002Fv3\u002Fbadge.svg?chart=dockerhub.pulls_sum&divide=1000000&precision=1&units=M&label=docker+hub+pulls&options=unaligned&tier=1&v44\" alt=\"Docker Hub pulls\">\u003C\u002Fa>\n\u003C\u002Fp>\n\u003Cp align=\"center\">\u003Cb>Visit our \u003Ca href=\"https:\u002F\u002Fwww.netdata.cloud\">Home Page\u003C\u002Fa>\u003C\u002Fb>\u003C\u002Fp>\n\n\u003Chr class=\"solid\">\n\nMENU: **[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)**\n\n\n> [!WARNING]\n> People **get addicted to Netdata.**\n> Once you use it on your systems, *there's no going back.*\n\n[![Platforms](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPlatforms-Linux%20%7C%20macOS%20%7C%20FreeBSD%20%7C%20Windows-blue)]()\n\n---\n\n## WHO WE ARE\n\nNetdata is an open-source, real-time infrastructure monitoring platform. Monitor, detect, and act across your entire infrastructure.\n\n**Core Advantages:**\n\n* **Instant Insights** – With Netdata you can access per-second metrics and visualizations.\n* **Zero Configuration** – You can deploy immediately without complex setup.\n* **ML-Powered** – You can detect anomalies, predict issues, and automate analysis.\n* **Efficient** – You can monitor with minimal resource usage and maximum scalability.\n* **Secure & Distributed** – You can keep your data local with no central collection needed.\n\nWith Netdata, you get real-time, per-second updates. Clear **insights at a glance**, no complexity.\n\n\u003Cdetails>\n  \u003Csummary>\u003Cstrong>All heroes have a great origin story. Click to discover ours.\u003C\u002Fstrong>\u003C\u002Fsummary>\n  \u003Cbr\u002F>\n\nIn 2013, at the company where Costa Tsaousis was COO, a significant percentage of their cloud-based transactions failed silently, severely impacting business performance.\n\nCosta and his team tried every troubleshooting tool available at the time. None could identify the root cause. As Costa later wrote:\n\n“*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.*”\n\nFrustrated, he decided to build his own monitoring tool, starting from scratch.\n\nThat 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.\n\u003C\u002Fdetails>\n\n### Most Energy-Efficient Monitoring Tool\n\n\u003Cp align=\"center\">\n\u003Ca href=\"https:\u002F\u002Fwww.ivanomalavolta.com\u002Ffiles\u002Fpapers\u002FICSOC_2023.pdf#gh-dark-mode-only\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Fassets\u002F139226121\u002F7118757a-38fb-48d7-b12a-53e709a8e8c0\" alt=\"Energy Efficiency\" width=\"800\"\u002F>\n\u003C\u002Fa>\n\u003Ca href=\"https:\u002F\u002Fwww.ivanomalavolta.com\u002Ffiles\u002Fpapers\u002FICSOC_2023.pdf#gh-light-mode-only\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Fassets\u002F139226121\u002F4f64cbb6-05e4-48e3-b7c0-d1b79e37e219\" alt=\"Energy efficiency\" width=\"800\"\u002F>\n\u003C\u002Fa>\n\u003C\u002Fp>\n\nAccording to the [University of Amsterdam study](https:\u002F\u002Fwww.ivanomalavolta.com\u002Ffiles\u002Fpapers\u002FICSOC_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.\n\n---\n\n## Key Features\n\n| Feature                    | Description                               | What Makes It Unique                                     |\n|----------------------------|-------------------------------------------|----------------------------------------------------------|\n| **Real-Time**              | Per-second data collection and processing | Works in a beat – click and see results instantly        |\n| **Zero-Configuration**     | Automatic detection and discovery         | Auto-discovers everything on the nodes it runs           |\n| **ML-Powered**             | Unsupervised anomaly detection            | Trains multiple ML models per metric at the edge         |\n| **Long-Term Retention**    | High-performance storage                  | ~0.5 bytes per sample with tiered storage for archiving  |\n| **Advanced Visualization** | Rich, interactive dashboards              | Slice and dice data without query language               |\n| **Extreme Scalability**    | Native horizontal scaling                 | Parent-Child centralization with multi-million samples\u002Fs |\n| **Complete Visibility**    | From infrastructure to applications       | Simplifies operations and eliminates silos               |\n| **Edge-Based**             | Processing at your premises               | Distributes code instead of centralizing data            |\n\n> [!NOTE]  \n> Want to put Netdata to the test against Prometheus?\n> Explore the [full comparison](https:\u002F\u002Fwww.netdata.cloud\u002Fblog\u002Fnetdata-vs-prometheus-2025\u002F).\n\n---\n\n## Netdata Ecosystem\n\nThis three-part architecture enables you to scale from single nodes to complex multi-cloud environments:\n\n| Component         | Description                                                                                                                                                 | License                                         |\n|-------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------|\n| **Netdata Agent** | • Core monitoring engine\u003Cbr>• Handles collection, storage, ML, alerts, exports\u003Cbr>• Runs on servers, cloud, K8s, IoT\u003Cbr>• Zero production impact            | [GPL v3+](https:\u002F\u002Fwww.gnu.org\u002Flicenses\u002Fgpl-3.0) |\n| **Netdata Cloud** | • Enterprise features\u003Cbr>• User management, RBAC, horizontal scaling\u003Cbr>• Centralized alerts\u003Cbr>• Free community tier\u003Cbr>• No metric storage centralization |                                                 |\n| **Netdata UI**    | • Dashboards and visualizations\u003Cbr>• Free to use\u003Cbr>• Included in standard packages\u003Cbr>• Latest version via CDN                                             | [NCUL1](https:\u002F\u002Fapp.netdata.cloud\u002FLICENSE.txt)  |\n\n## What You Can Monitor\n\nWith Netdata you can monitor all these components across platforms:\n\n|                                                                                                   Component |              Linux               | FreeBSD | macOS |                      Windows                      |\n|------------------------------------------------------------------------------------------------------------:|:--------------------------------:|:-------:|:-----:|:-------------------------------------------------:|\n|                             **System Resources**\u003Csmall>\u003Cbr\u002F>CPU, Memory and system shared resources\u003C\u002Fsmall> |               Full               |   Yes   |  Yes  |                        Yes                        |\n|                                **Storage**\u003Csmall>\u003Cbr\u002F>Disks, Mount points, Filesystems, RAID arrays\u003C\u002Fsmall> |               Full               |   Yes   |  Yes  |                        Yes                        |\n|                                 **Network**\u003Csmall>\u003Cbr\u002F>Network Interfaces, Protocols, Firewall, etc\u003C\u002Fsmall> |               Full               |   Yes   |  Yes  |                        Yes                        |\n|                        **Hardware & Sensors**\u003Csmall>\u003Cbr\u002F>Fans, Temperatures, Controllers, GPUs, etc\u003C\u002Fsmall> |               Full               |  Some   | Some  |                       Some                        |\n|                                       **O\u002FS Services**\u003Csmall>\u003Cbr\u002F>Resources, Performance and Status\u003C\u002Fsmall> | Yes\u003Csmall>\u003Cbr\u002F>`systemd`\u003C\u002Fsmall> |    -    |   -   |                         -                         |\n|                                      **Processes**\u003Csmall>\u003Cbr\u002F>Resources, Performance, OOM, and more\u003C\u002Fsmall> |               Yes                |   Yes   |  Yes  |                        Yes                        |\n|                                                                             System and Application **Logs** | Yes\u003Csmall>\u003Cbr\u002F>`systemd`-journal |    -    |   -   | Yes\u003Csmall>\u003Cbr\u002F>`Windows Event Log`, `ETW`\u003C\u002Fsmall> |\n|                                 **Network Connections**\u003Csmall>\u003Cbr\u002F>Live TCP and UDP sockets per PID\u003C\u002Fsmall> |               Yes                |    -    |   -   |                         -                         |\n|                               **Containers**\u003Csmall>\u003Cbr\u002F>Docker\u002Fcontainerd, LXC\u002FLXD, Kubernetes, etc\u003C\u002Fsmall> |               Yes                |    -    |   -   |                         -                         |\n|                                 **VMs** (from the host)\u003Csmall>\u003Cbr\u002F>KVM, qemu, libvirt, Proxmox, etc\u003C\u002Fsmall> | Yes\u003Csmall>\u003Cbr\u002F>`cgroups`\u003C\u002Fsmall> |    -    |   -   |         Yes\u003Csmall>\u003Cbr\u002F>`Hyper-V`\u003C\u002Fsmall>          |\n|                       **Synthetic Checks**\u003Csmall>\u003Cbr\u002F>Test APIs, TCP ports, Ping, Certificates, etc\u003C\u002Fsmall> |               Yes                |   Yes   |  Yes  |                        Yes                        |\n| **Packaged Applications**\u003Csmall>\u003Cbr\u002F>nginx, apache, postgres, redis, mongodb,\u003Cbr\u002F>and hundreds more\u003C\u002Fsmall> |               Yes                |   Yes   |  Yes  |                        Yes                        |\n|                              **Cloud Provider Infrastructure**\u003Csmall>\u003Cbr\u002F>AWS, GCP, Azure, and more\u003C\u002Fsmall> |               Yes                |   Yes   |  Yes  |                        Yes                        |\n|                       **Custom Applications**\u003Csmall>\u003Cbr\u002F>OpenMetrics, StatsD and soon OpenTelemetry\u003C\u002Fsmall> |               Yes                |   Yes   |  Yes  |                        Yes                        |\n\nOn Linux, you can continuously monitor all kernel features and hardware sensors for errors, including Intel\u002FAMD\u002FNvidia GPUs, PCI AER, RAM EDAC, IPMI, S.M.A.R.T, Intel RAPL, NVMe, fans, power supplies, and voltage readings.\n\n---\n\n## Getting Started\n\nYou can install Netdata on all major operating systems. To begin:\n\n### 1. Install Netdata\n\nChoose your platform and follow the installation guide:\n\n* [Linux Installation](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Finstalling\u002Fone-line-installer-for-all-linux-systems)\n* [macOS](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Finstalling\u002Fmacos)\n* [FreeBSD](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Finstalling\u002Ffreebsd)\n* [Windows](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Fnetdata-agent\u002Finstallation\u002Fwindows)\n* [Docker Guide](\u002Fpackaging\u002Fdocker\u002FREADME.md)\n* [Kubernetes Setup](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Finstallation\u002Finstall-on-specific-environments\u002Fkubernetes)\n\n> [!NOTE]\n> You can access the Netdata UI at `http:\u002F\u002Flocalhost:19999` (or `http:\u002F\u002FNODE:19999` if remote).\n\n### 2. Configure Collectors\n\nNetdata auto-discovers most metrics, but you can manually configure some collectors:\n\n* [All collectors](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Fdata-collection\u002F)\n* [SNMP monitoring](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Fdata-collection\u002Fmonitor-anything\u002Fnetworking\u002Fsnmp)\n\n### 3. Configure Alerts\n\nYou can use hundreds of built-in alerts and integrate with:\n\n`email`, `Slack`, `Telegram`, `PagerDuty`, `Discord`, `Microsoft Teams`, and more.\n\n> [!NOTE]  \n> Email alerts work by default if there's a configured MTA.\n\n### 4. Configure Parents\n\nYou can centralize dashboards, alerts, and storage with Netdata Parents:\n\n* [Streaming Reference](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Fstreaming\u002Fstreaming-configuration-reference)\n\n> [!NOTE]  \n> You can use Netdata Parents for central dashboards, longer retention, and alert configuration.\n\n### 5. Connect to Netdata Cloud\n\n[Sign in to Netdata Cloud](https:\u002F\u002Fapp.netdata.cloud\u002Fsign-in) and connect your nodes for:\n\n* Access from anywhere\n* Horizontal scalability and multi-node dashboards\n* UI configuration for alerts and data collection\n* Role-based access control\n* Free tier available\n\n> [!NOTE]  \n> Netdata Cloud is optional. Your data stays in your infrastructure.\n\n## Live Demo Sites\n\n\u003Cp align=\"center\">\n  \u003Cb>See Netdata in action\u003C\u002Fb>\u003Cbr\u002F>\n  \u003Ca href=\"https:\u002F\u002Ffrankfurt.netdata.rocks\">\u003Cb>FRANKFURT\u003C\u002Fb>\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fnewyork.netdata.rocks\">\u003Cb>NEWYORK\u003C\u002Fb>\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fatlanta.netdata.rocks\">\u003Cb>ATLANTA\u003C\u002Fb>\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fsanfrancisco.netdata.rocks\">\u003Cb>SANFRANCISCO\u003C\u002Fb>\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Ftoronto.netdata.rocks\">\u003Cb>TORONTO\u003C\u002Fb>\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fsingapore.netdata.rocks\">\u003Cb>SINGAPORE\u003C\u002Fb>\u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fbangalore.netdata.rocks\">\u003Cb>BANGALORE\u003C\u002Fb>\u003C\u002Fa>\n  \u003Cbr\u002F>\n  \u003Ci>These demo clusters run with default configuration and show real monitoring data.\u003C\u002Fi>\n  \u003Cbr\u002F>\n  \u003Ci>Choose the instance closest to you for the best performance.\u003C\u002Fi>\n\u003C\u002Fp>\n\n---\n\n## How It Works\n\nWith Netdata you can run a modular pipeline for metrics collection, processing, and visualization.\n\n```mermaid\nflowchart TB\n  A[Netdata Agent]:::mainNode\n  A1(Collect):::green --> A\n  A2(Store):::green --> A\n  A3(Learn):::green --> A\n  A4(Detect):::green --> A\n  A5(Check):::green --> A\n  A6(Stream):::green --> A\n  A7(Archive):::green --> A\n  A8(Query):::green --> A\n  A9(Score):::green --> A\n\n  classDef green fill:#bbf3bb,stroke:#333,stroke-width:1px,color:#000\n  classDef mainNode fill:#f0f0f0,stroke:#333,stroke-width:1px,color:#333\n```\n\nWith each Agent you can:\n\n1. **Collect** – Gather metrics from systems, containers, apps, logs, APIs, and synthetic checks.\n2. **Store** – Save metrics to a high-efficiency, tiered time-series database.\n3. **Learn** – Train ML models per metric using recent behavior.\n4. **Detect** – Identify anomalies using trained ML models.\n5. **Check** – Evaluate metrics against pre-set or custom alert rules.\n6. **Stream** – Send metrics to Netdata Parents in real time.\n7. **Archive** – Export metrics to Prometheus, InfluxDB, OpenTSDB, Graphite, and others.\n8. **Query** – Access metrics via an API for dashboards or third-party tools.\n9. **Score** – Use a scoring engine to find patterns and correlations across metrics.\n\n> [!NOTE]  \n> Learn more: [Netdata's architecture](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Fnetdata-agent\u002F#distributed-observability-pipeline)\n\n## Agent Capabilities\n\nWith the Netdata Agent, you can use these core capabilities out-of-the-box:\n\n| Capability                   | Description                                                                                                                                   |\n|------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------|\n| **Comprehensive Collection** | • 800+ integrations\u003Cbr>• Systems, containers, VMs, hardware sensors\u003Cbr>• OpenMetrics, StatsD, and logs\u003Cbr>• OpenTelemetry support coming soon |\n| **Performance & Precision**  | • Per-second collection\u003Cbr>• Real-time visualization with 1-second latency\u003Cbr>• High-resolution metrics                                       |\n| **Edge-Based ML**            | • ML models trained at the edge\u003Cbr>• Automatic anomaly detection per metric\u003Cbr>• Pattern recognition based on historical behavior             |\n| **Advanced Log Management**  | • Direct systemd-journald and Windows Event Log integration\u003Cbr>• Process logs at the edge\u003Cbr>• Rich log visualization                         |\n| **Observability Pipeline**   | • Parent-Child relationships\u003Cbr>• Flexible centralization\u003Cbr>• Multi-level replication and retention                                          |\n| **Automated Visualization**  | • NIDL data model\u003Cbr>• Auto-generated dashboards\u003Cbr>• No query language needed                                                                |\n| **Smart Alerting**           | • Pre-configured alerts\u003Cbr>• Multiple notification methods\u003Cbr>• Proactive detection                                                           |\n| **Low Maintenance**          | • Auto-detection\u003Cbr>• Zero-touch ML\u003Cbr>• Easy scalability\u003Cbr>• CI\u002FCD friendly                                                                 |\n| **Open & Extensible**        | • Modular architecture\u003Cbr>• Easy to customize\u003Cbr>• Integrates with existing tools                                                             |\n\n---\n\n## CNCF Membership\n\n\u003Cp align=\"center\">\n  \u003Cpicture>\n    \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fraw.githubusercontent.com\u002Fcncf\u002Fartwork\u002Fmaster\u002Fother\u002Fcncf\u002Fhorizontal\u002Fwhite\u002Fcncf-white.svg\">\n    \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fraw.githubusercontent.com\u002Fcncf\u002Fartwork\u002Fmaster\u002Fother\u002Fcncf\u002Fhorizontal\u002Fcolor\u002Fcncf-color.svg\">\n    \u003Cimg alt=\"CNCF Logo\" src=\"https:\u002F\u002Fraw.githubusercontent.com\u002Fcncf\u002Fartwork\u002Fmaster\u002Fother\u002Fcncf\u002Fhorizontal\u002Fcolor\u002Fcncf-color.svg\" width=\"300\">\n  \u003C\u002Fpicture>\n  \u003Cbr \u002F>\n  Netdata actively supports and is a member of the Cloud Native Computing Foundation (CNCF).\u003Cbr \u002F>\n  It is one of the most starred projects in the \u003Ca href=\"https:\u002F\u002Flandscape.cncf.io\u002F?item=observability-and-analysis--observability--netdata\">CNCF landscape\u003C\u002Fa>.\n\u003C\u002Fp>\n\n---\n\n## FAQ\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Is Netdata secure?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nYes. Netdata follows [OpenSSF best practices](https:\u002F\u002Fbestpractices.coreinfrastructure.org\u002Fen\u002Fprojects\u002F2231), has a security-first design, and is regularly audited by the community.\n\n* [Security design](https:\u002F\u002Flearn.netdata.cloud\u002Fdocs\u002Fsecurity-and-privacy-design)\n* [Security policies and advisories](https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Fsecurity)\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Does Netdata use a lot of resources?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nNo. Even with ML and per-second metrics, Netdata uses minimal resources.\n\n* \\~5% CPU and 150MiB RAM by default on production systems\n* \u003C1% CPU and \\~100MiB RAM when ML and alerts are disabled and using ephemeral storage\n* Parents scale to millions of metrics per second with appropriate hardware\n\n> You can use the **Netdata Monitoring** section in the dashboard to inspect its resource usage.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>How much data retention is possible?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nAs much as your disk allows.\n\nWith Netdata you can use tiered retention:\n\n* Tier 0: per-second resolution\n* Tier 1: per-minute resolution\n* Tier 2: per-hour resolution\n\nThese are queried automatically based on the zoom level.\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Can Netdata scale to many servers?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nYes. With Netdata you can:\n\n* Scale horizontally with many Agents\n* Scale vertically with powerful Parents\n* Scale infinitely via Netdata Cloud\n\n> You can use Netdata Cloud to merge many independent infrastructures into one logical view.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Is disk I\u002FO a concern?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nNo. Netdata minimizes disk usage:\n\n* Metrics are flushed to disk every 17 minutes, spread out evenly\n* Uses direct I\u002FO and compression (ZSTD)\n* Can run entirely in RAM or stream to a Parent\n\n> You can use `alloc` or `ram` mode for no disk writes.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>How is Netdata different from Prometheus + Grafana?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nWith Netdata you get a complete monitoring solution—not just tools.\n\n* No manual setup or dashboards needed\n* Built-in ML, alerts, dashboards, and correlations\n* More efficient and easier to deploy\n\n> [Performance comparison](https:\u002F\u002Fblog.netdata.cloud\u002Fnetdata-vs-prometheus-performance-analysis\u002F)\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>How is Netdata different from commercial SaaS tools?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nWith Netdata you can store all metrics on your infrastructure—no sampling, no aggregation, no loss.\n\n* High-resolution metrics by default\n* ML per metric, not shared models\n* Unlimited scalability without skyrocketing cost\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Can Netdata run alongside Nagios, Zabbix, etc.?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nYes. You can use Netdata together with traditional tools.\n\nWith Netdata you get:\n\n* Real-time, high-resolution monitoring\n* Zero configuration and auto-generated dashboards\n* Anomaly detection and advanced visualization\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>What if I feel overwhelmed?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nYou can start small:\n\n* Use the dashboard's table of contents and search\n* Explore anomaly scoring (\"AR\" toggle)\n* Create custom dashboards in Netdata Cloud\n\n> [Docs and guides](https:\u002F\u002Flearn.netdata.cloud\u002Fguides)\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Do I have to use Netdata Cloud?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nNo. Netdata Cloud is optional.\n\nNetdata works without it, but with Cloud you can:\n\n* Access remotely with SSO\n* Save dashboard customizations\n* Configure alerts centrally\n* Collaborate with role-based access\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>What telemetry does Netdata collect?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nAnonymous telemetry helps improve the product. You can disable it:\n\n* Add `--disable-telemetry` to the installer, or\n* Create `\u002Fetc\u002Fnetdata\u002F.opt-out-from-anonymous-statistics` and restart Netdata\n\n> Telemetry helps us understand usage, not track users. No private data is collected.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cstrong>Who uses Netdata?\u003C\u002Fstrong>\u003C\u002Fsummary>\n\u003Cbr\u002F>\n\nYou'll join users including:\n\n* Major companies (Amazon, ABN AMRO Bank, Facebook, Google, IBM, Intel, Netflix, Samsung)\n* Universities (NYU, Columbia, Seoul National, UCL)\n* Government organizations worldwide\n* Infrastructure-intensive organizations\n* Technology operators\n* Startups and freelancers\n* SysAdmins and DevOps professionals\n\n\u003C\u002Fdetails>\n\n---\n\n## \\:book: Documentation\n\nVisit [Netdata Learn](https:\u002F\u002Flearn.netdata.cloud) for full documentation and guides.\n\n> [!NOTE]  \n> Includes deployment, configuration, alerting, exporting, troubleshooting, and more.\n\n---\n\n## \\:tada: Community\n\nJoin the Netdata community:\n\n* [Discord](https:\u002F\u002Fdiscord.com\u002Finvite\u002F2mEmfW735j)\n* [Forum](https:\u002F\u002Fcommunity.netdata.cloud)\n* [GitHub Discussions](https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Fdiscussions)\n\n> [!NOTE]  \n> [Code of Conduct](https:\u002F\u002Fgithub.com\u002Fnetdata\u002F.github\u002Fblob\u002Fmain\u002FCODE_OF_CONDUCT.md)\n\nFollow us on:\n[Twitter](https:\u002F\u002Ftwitter.com\u002Fnetdatahq) | [Reddit](https:\u002F\u002Fwww.reddit.com\u002Fr\u002Fnetdata\u002F) | [YouTube](https:\u002F\u002Fwww.youtube.com\u002Fc\u002FNetdata) | [LinkedIn](https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fnetdata-cloud\u002F)\n\n---\n\n## \\:pray: Contribute\n\nWe welcome your contributions.\n\nWays you help us stay sharp:\n\n* Share best practices and monitoring insights\n* Report issues or missing features\n* Improve documentation\n* Develop new integrations or collectors\n* Help users in forums and chats\n\n> [!NOTE]  \n> [Contribution guide](https:\u002F\u002Fgithub.com\u002Fnetdata\u002F.github\u002Fblob\u002Fmain\u002FCONTRIBUTING.md)\n\n---\n\n## \\:scroll: License\n\nThe Netdata ecosystem includes:\n\n* **Netdata Agent** – Open-source core (GPLv3+). **Includes** data collection, storage, ML, alerting, APIs and **redistributes** several other open-source tools and libraries.\n    * [Netdata Agent License](https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Fblob\u002Fmaster\u002FLICENSE)\n    * [Netdata Agent Redistributed](https:\u002F\u002Fgithub.com\u002Fnetdata\u002Fnetdata\u002Fblob\u002Fmaster\u002FREDISTRIBUTED.md)\n* **Netdata UI** – Closed-source but free to use with Netdata Agent and Cloud. Delivered via CDN. It integrates third-party open-source components.\n    * [Netdata Cloud UI License](https:\u002F\u002Fapp.netdata.cloud\u002FLICENSE.txt)\n    * [Netdata UI third-party licenses](https:\u002F\u002Fapp.netdata.cloud\u002F3D_PARTY_LICENSES.txt)\n* **Netdata Cloud** – Closed-source, with free and paid tiers. Adds remote access, SSO, scalability.\n","Netdata 是一个高性能的全栈可观测性解决方案，专为包括精简团队在内的各种规模组织设计。它能够实时收集和可视化系统、应用及容器的各项指标，支持每秒更新数据，提供无与伦比的细节洞察力。项目采用C语言编写，具备强大的AI驱动分析能力，可以轻松集成到Docker、Kubernetes等现代云原生环境中。此外，Netdata还支持多种数据库如MySQL、PostgreSQL、MongoDB等，并能与Prometheus、Grafana等行业标准工具无缝对接。适用于需要对复杂IT基础设施进行高效监控和故障排查的企业或个人开发者。",2,"2026-06-17 02:35:22","top_all"]