加载中
正在获取最新内容，请稍候...
The fastest path to AI-powered full stack observability, even for lean teams.
Netdata delivers real-time, high-resolution performance monitoring and troubleshooting for servers, containers, and applications, powered by AI insights and designed for efficiency, making it ideal for lean teams.
C
Added on 2025年7月1日74,930
Stars6,076
ForksC
LanguageProject Introduction
Summary
Netdata is an open-source, distributed performance monitoring and troubleshooting platform that provides high-resolution, real-time metrics and AI-powered insights to help DevOps, SREs, and developers quickly understand and resolve performance issues across their infrastructure and applications.
Problem Solved
Traditional monitoring systems are often complex, resource-intensive, and require extensive configuration, making them challenging for lean teams to manage effectively and gain meaningful insights quickly. Netdata simplifies full stack observability, providing instant visibility and intelligent analysis without the overhead.
Core Features
High-Resolution Real-time Monitoring
Collects thousands of metrics per server with 1-second granularity for deep, real-time insights into system and application performance.
AI-Powered Anomaly Detection & Root Cause Analysis
Leverages machine learning to automatically detect anomalies, identify root causes, and provide actionable troubleshooting recommendations.
Easy Setup and Extensive Integrations
Simple installation and zero-configuration data collection across a vast range of integrations, ensuring fast time to value.
Tech Stack
C
Go
Python
Node.js
React
gRPC
Prometheus (compatible)
使用场景
Netdata excels in scenarios requiring real-time performance monitoring and efficient troubleshooting across diverse environments.
场景一：生产环境大规模监控
Details
Monitor thousands of servers and VMs in production environments with minimal overhead, collecting high-resolution metrics to detect subtle performance degradation or resource exhaustion.
User Value
Proactively identify and prevent outages, optimize resource utilization, and maintain service level objectives (SLOs).
场景二：性能问题故障排除
Details
Quickly diagnose performance bottlenecks in applications, databases, or the underlying infrastructure using real-time dashboards and AI-powered anomaly detection during incident response.
User Value
Significantly reduce the time required to pinpoint the root cause of performance issues, minimizing downtime and impact.
场景三：Kubernetes集群可观测性
Details
Gain deep visibility into Kubernetes clusters, including node health, pod performance, resource utilization, and network traffic, integrating seamlessly with container orchestration.
User Value
Effectively manage and scale containerized applications with clear insights into cluster behavior and individual workload performance.
Recommended Projects
You might be interested in these projects
HuanshereVideoLingo
VideoLingo is an AI-powered tool designed for fully automated video localization, handling subtitle cutting, translation, alignment, and even dubbing with near Netflix-level quality. Streamline your content delivery for global audiences.
Python
137091380
FWGSxash3d-fwgs
Xash3D FWGS is an open-source, cross-platform re-implementation of Valve's GoldSrc engine, designed to run original Half-Life and its modifications on modern operating systems and architectures.
C
1899283
languagetool-orglanguagetool
LanguageTool is a free online proofreading tool for English, German, Spanish, French, Polish, and more than 20 other languages. It can find many errors that a simple spell checker cannot detect.
Java
132421443