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skywalking

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项目能做什么

开源 APM 应用性能监控与可观测性分析系统。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
Apache SkyWalking
==========

<img src="http://skywalking.apache.org/assets/logo.svg" alt="Sky Walking logo" height="90px" align="right" />

**SkyWalking**: an APM (Application Performance Monitoring) system, especially designed for
microservices, cloud native and container-based architectures.

[![GitHub stars](https://img.shields.io/github/stars/apache/skywalking.svg?style=for-the-badge&label=Stars&logo=github)](https://github.com/apache/skywalking)
[![X Follow](https://img.shields.io/badge/2K%2B-follow?style=for-the-badge&logo=X&label=%40ASFSKYWALKING)](https://x.com/AsfSkyWalking)

![GitHub Release](https://img.shields.io/github/v/release/apache/skywalking)

# Abstract
**SkyWalking** is an open-source APM system that provides monitoring, tracing and diagnosing capabilities for distributed systems in Cloud Native architectures.


* Distributed Tracing
  * End-to-end distributed tracing. Service topology analysis, service-centric observability and APIs dashboards.
* Agents for your stack
  * Java, .Net Core, PHP, NodeJS, Golang, Lua, Rust, C++, Client JavaScript and Python agents with active development and maintenance.
* eBPF early adoption
  * Rover agent works as a monitor and profiler powered by eBPF to monitor Kubernetes deployments and diagnose CPU and network performance.
* Scaling
  * 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster.
* Mature Telemetry Ecosystems Supported
  * Metrics, Traces, and Logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd
* Native APM Database
  * BanyanDB, an observability database, created in 2022, aims to ingest, analyze and store telemetry/observability data.
* Consistent Metrics Aggregation
  * SkyWalking native meter format and widely known metrics format (OpenTelemetry, Telegraf, Zabbix, e.g.) are processed through the same script pipeline.
* Log Management Pipeline
  * Support log formatting, extract metrics, various sampling policies through script pipeline in high performance.
* Alerting and Telemetry Pipelines
  * Support service-centric, deployment-centric, API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party.
* AI Power Enabled
  * Machine Learning (ML) and Artificial Intelligence (AI) analyze observability data to identify patterns and enhance capabilities, such as recognizing HTTP URI patterns and automatically calculating metric baselines for intelligent alerting, improving anomaly detection.

# Live Demo

[<img src="https://skywalking.apache.org/images/home/horizon-3d-map.png" alt="SkyWalking 3D Infrastructure Map"/>](https://skywalking.apache.org/3d-map-app/#/3d/map)

- Explore the [SkyWalking 3D Infrastructure Map interactive demo](https://skywalking.apache.org/3d-map-app/#/3d/map), a 3D visualization of the service topology powered by [Horizon UI](https://github.com/apache/skywalking-horizon-ui).
- Find the [SkyWalking live demo with native UI and Grafana](https://s
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 44.9 分。该项目在“个人可实施性”维度得 37 分,“付费可能性”维度得 20.0 分,差异化空间 70.0 分(评分依据见评分卡)。

面向细分需求的二次开发产品

产品构想基于 skywalking 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

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以上为通过 GitHub 官方 Search API 检索的相似项目,功能差异与优劣势需进一步人工确认,配置 AI 后可生成对比分析。

项目优势与风险

技术成熟度创建于 ,最近推送 ,发布过 66 个 Release
社区活跃Star 25,002 / Fork 0 / Issue 0(数据支持,可自行核实)
许可证未检测到(需人工确认)
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/apache/skywalking.git
cd skywalking
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。