经 AI Skill Hub 精选评估,Netdata可观测性平台 获评「强烈推荐」。在 GitHub 上收获超过 78.8k 颗 Star,这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.5 分,适合有一定技术背景的用户使用。
高性能开源可观测性平台,提供实时全栈监控、告警和数据可视化能力。采用C语言高效实现,支持云原生架构,适合DevOps团队、系统管理员快速部署全面监控解决方案。
Netdata可观测性平台 是一款基于 C 开发的开源工具,专注于 监控告警、可观测性、MCP工具 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
高性能开源可观测性平台,提供实时全栈监控、告警和数据可视化能力。采用C语言高效实现,支持云原生架构,适合DevOps团队、系统管理员快速部署全面监控解决方案。
Netdata可观测性平台 是一款基于 C 开发的开源工具,专注于 监控告警、可观测性、MCP工具 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 克隆仓库 git clone https://github.com/netdata/netdata cd netdata # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
# 查看帮助 netdata --help # 基本运行 netdata [options] <input> # 详细使用说明请查阅文档 # https://github.com/netdata/netdata
# netdata 配置说明 # 查看配置选项 netdata --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export NETDATA_CONFIG="/path/to/config.yml"
<p align="center"> <a href="https://www.netdata.cloud#gh-light-mode-only"> <img src="https://www.netdata.cloud/img/readme-images/netdata_readme_logo_light.png" alt="Netdata" width="300"/> </a> <a href="https://www.netdata.cloud#gh-dark-mode-only"> <img src="https://www.netdata.cloud/img/readme-images/netdata_readme_logo_dark.png" alt="Netdata" width="300"/> </a> </p> <h3 align="center">X-Ray Vision for your infrastructure!</h3> <h4 align="center">Every Metric, Every Second. No BS.</h4>
<br /> <p align="center"> <a href="https://github.com/netdata/netdata/"><img src="https://img.shields.io/github/stars/netdata/netdata?style=social" alt="GitHub Stars"></a> <br /> <a href="https://app.netdata.cloud/spaces/netdata-demo?utm_campaign=github_readme_demo_badge"><img src="https://img.shields.io/badge/Live%20Demo-green" alt="Live Demo"></a> <a href="https://github.com/netdata/netdata/releases/latest"><img src="https://img.shields.io/github/release/netdata/netdata.svg" alt="Latest release"></a> <a href="https://github.com/netdata/netdata-nightlies/releases/latest"><img src="https://img.shields.io/github/release/netdata/netdata-nightlies.svg" alt="Latest nightly build"></a> <br/> <a href="https://community.netdata.cloud"><img alt="Discourse topics" src="https://img.shields.io/discourse/topics?server=https%3A%2F%2Fcommunity.netdata.cloud%2F&logo=discourse&label=discourse%20forum"></a> <a href="https://github.com/netdata/netdata/discussions"><img alt="GitHub Discussions" src="https://img.shields.io/github/discussions/netdata/netdata?logo=github&label=github%20discussions"></a> <br/> <a href="https://bestpractices.coreinfrastructure.org/projects/2231"><img src="https://bestpractices.coreinfrastructure.org/projects/2231/badge" alt="CII Best Practices"></a> <a href="https://scan.coverity.com/projects/netdata-netdata?tab=overview"><img alt="Coverity Scan" src="https://img.shields.io/coverity/scan/netdata"></a> </p>
<p align="center"> <a href="https://registry.my-netdata.io/#menu_netdata_submenu_registry"><img src="https://registry.my-netdata.io/api/v3/badge.svg?chart=netdata.registry_entries&dimensions=persons&label=user%20base&units=M&value_color=blue&precision=2÷=1000000&options=unaligned&tier=1&v44" alt="User base"></a> <a href="https://registry.my-netdata.io/#menu_netdata_submenu_registry"><img src="https://registry.my-netdata.io/api/v3/badge.svg?chart=netdata.registry_entries&dimensions=machines&label=servers%20monitored&units=M÷=1000000&value_color=orange&precision=2&options=unaligned&tier=1&v44" alt="Servers monitored"></a> <a href="https://registry.my-netdata.io/#menu_netdata_submenu_registry"><img src="https://registry.my-netdata.io/api/v3/badge.svg?chart=netdata.registry_sessions&label=sessions%20served&units=M&value_color=yellowgreen&precision=2÷=1000000&options=unaligned&tier=1&v44" alt="Sessions served"></a> <a href="https://hub.docker.com/r/netdata/netdata"><img src="https://registry.my-netdata.io/api/v3/badge.svg?chart=dockerhub.pulls_sum÷=1000000&precision=1&units=M&label=docker+hub+pulls&options=unaligned&tier=1&v44" alt="Docker Hub pulls"></a> </p> <p align="center"><b>Visit our <a href="https://www.netdata.cloud">Home Page</a></b></p>
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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.
[]()
---
| 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.
---
With the Netdata Agent, you can use these core capabilities out-of-the-box:
| Capability | Description |
|---|---|
| **Comprehensive Collection** | • 800+ integrations<br>• Systems, containers, VMs, hardware sensors<br>• OpenMetrics, StatsD, and logs<br>• OpenTelemetry support coming soon |
| **Performance & Precision** | • Per-second collection<br>• Real-time visualization with 1-second latency<br>• High-resolution metrics |
| **Edge-Based ML** | • ML models trained at the edge<br>• Automatic anomaly detection per metric<br>• Pattern recognition based on historical behavior |
| **Advanced Log Management** | • Direct systemd-journald and Windows Event Log integration<br>• Process logs at the edge<br>• Rich log visualization |
| **Observability Pipeline** | • Parent-Child relationships<br>• Flexible centralization<br>• Multi-level replication and retention |
| **Automated Visualization** | • NIDL data model<br>• Auto-generated dashboards<br>• No query language needed |
| **Smart Alerting** | • Pre-configured alerts<br>• Multiple notification methods<br>• Proactive detection |
| **Low Maintenance** | • Auto-detection<br>• Zero-touch ML<br>• Easy scalability<br>• CI/CD friendly |
| **Open & Extensible** | • Modular architecture<br>• Easy to customize<br>• Integrates with existing tools |
---
You can install Netdata on all major operating systems. To begin:
Choose your platform and follow the installation guide:
[!NOTE] You can access the Netdata UI athttp://localhost:19999(orhttp://NODE:19999if remote).
<p align="center"> <b>See Netdata in action</b><br/> <a href="https://frankfurt.netdata.rocks"><b>FRANKFURT</b></a> | <a href="https://newyork.netdata.rocks"><b>NEWYORK</b></a> | <a href="https://atlanta.netdata.rocks"><b>ATLANTA</b></a> | <a href="https://sanfrancisco.netdata.rocks"><b>SANFRANCISCO</b></a> | <a href="https://toronto.netdata.rocks"><b>TORONTO</b></a> | <a href="https://singapore.netdata.rocks"><b>SINGAPORE</b></a> | <a href="https://bangalore.netdata.rocks"><b>BANGALORE</b></a> <br/> <i>These demo clusters run with default configuration and show real monitoring data.</i> <br/> <i>Choose the instance closest to you for the best performance.</i> </p>
---
Netdata auto-discovers most metrics, but you can manually configure some collectors:
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.
You can centralize dashboards, alerts, and storage with Netdata Parents:
[!NOTE] You can use Netdata Parents for central dashboards, longer retention, and alert configuration.
<details> <summary><strong>Is Netdata secure?</strong></summary> <br/>
Yes. Netdata follows OpenSSF best practices, has a security-first design, and is regularly audited by the community.
</details>
<details> <summary><strong>Does Netdata use a lot of resources?</strong></summary> <br/>
No. Even with ML and per-second metrics, Netdata uses minimal resources.
You can use the Netdata Monitoring section in the dashboard to inspect its resource usage.
</details>
<details> <summary><strong>How much data retention is possible?</strong></summary> <br/>
As much as your disk allows.
With Netdata you can use tiered retention:
These are queried automatically based on the zoom level. </details>
<details> <summary><strong>Can Netdata scale to many servers?</strong></summary> <br/>
Yes. With Netdata you can:
You can use Netdata Cloud to merge many independent infrastructures into one logical view.
</details>
<details> <summary><strong>Is disk I/O a concern?</strong></summary> <br/>
No. Netdata minimizes disk usage:
You can useallocorrammode for no disk writes.
</details>
<details> <summary><strong>How is Netdata different from Prometheus + Grafana?</strong></summary> <br/>
With Netdata you get a complete monitoring solution—not just tools.
Performance comparison
</details>
<details> <summary><strong>How is Netdata different from commercial SaaS tools?</strong></summary> <br/>
With Netdata you can store all metrics on your infrastructure—no sampling, no aggregation, no loss.
</details>
<details> <summary><strong>Can Netdata run alongside Nagios, Zabbix, etc.?</strong></summary> <br/>
Yes. You can use Netdata together with traditional tools.
With Netdata you get:
</details>
<details> <summary><strong>What if I feel overwhelmed?</strong></summary> <br/>
You can start small:
Docs and guides
</details>
<details> <summary><strong>Do I have to use Netdata Cloud?</strong></summary> <br/>
No. Netdata Cloud is optional.
Netdata works without it, but with Cloud you can:
</details>
<details> <summary><strong>What telemetry does Netdata collect?</strong></summary> <br/>
Anonymous telemetry helps improve the product. You can disable it:
--disable-telemetry to the installer, or/etc/netdata/.opt-out-from-anonymous-statistics and restart NetdataTelemetry helps us understand usage, not track users. No private data is collected.
</details>
<details> <summary><strong>Who uses Netdata?</strong></summary> <br/>
You'll join users including:
</details>
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高星开源项目,C语言高性能实现,MCP支持现代AI集成。监控能力全面完善,社区活跃,生产环保证成熟度高。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
⚠️ GPL 3.0 — 强 Copyleft,衍生作品须开源,含专利保护条款,不可闭源使用。
AI Skill Hub 点评:Netdata可观测性平台 的核心功能完整,质量优秀。对于AI 技术爱好者来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | netdata |
| 原始描述 | 开源MCP工具:The fastest path to AI-powered full stack observability, even for lean teams.。⭐78.8k · C |
| Topics | 监控告警可观测性MCP工具云原生实时数据 |
| GitHub | https://github.com/netdata/netdata |
| License | GPL-3.0 |
| 语言 | C |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:GPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。