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AI 应用与 AI Agent网络与基础设施 agentapmdistributed-tracingmonitoringperformancetracing
13,877
Stars
3,737
Forks
705
Watchers
510
Open Issues
Apache-2.0
许可证
Java
语言
2014-10-20
创建时间
2026-11-12
最近更新

项目能做什么

适用于大规模分布式系统的 APM(应用性能管理)工具。
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)

![Pinpoint](web/psd/logo.png)

[![Maven](https://img.shields.io/github/actions/workflow/status/pinpoint-apm/pinpoint/maven.yml?branch=master&label=build&logo=github)](https://github.com/pinpoint-apm/pinpoint/actions?query=workflow%3AMaven)
[![codecov](https://codecov.io/gh/pinpoint-apm/pinpoint/branch/master/graph/badge.svg)](https://codecov.io/gh/pinpoint-apm/pinpoint)

## Latest Release (2026/11/09)

We're happy to announce the release of Pinpoint v4.0.1.
Please check the release note at (https://github.com/pinpoint-apm/pinpoint/releases/tag/v4.0.1).

The current stable version is [v4.0.1](https://github.com/pinpoint-apm/pinpoint/releases/tag/v4.0.1).

## Live Demo

Take a quick look at Pinpoint with our [demo](http://211.233.216.67:8080/serviceMap/shop-front)!

## PHP, PYTHON

Pinpoint also supports application written in PHP, Python. [Check-out our agent repository](https://github.com/pinpoint-apm/pinpoint-c-agent).

## About Pinpoint

**Pinpoint** is an APM (Application Performance Management) tool for large-scale distributed systems written in Java / [PHP](https://github.com/pinpoint-apm/pinpoint-c-agent)/[PYTHON]((https://github.com/pinpoint-apm/pinpoint-c-agent)).
Inspired by [Dapper](http://research.google.com/pubs/pub36356.html "Google Dapper"),
Pinpoint provides a solution to help analyze the overall structure of the system and how components within them are interconnected by tracing transactions across distributed applications.

You should definitely check **Pinpoint** out If you want to

* understand your *[application topology](https://pinpoint-apm.gitbook.io/pinpoint/want-a-quick-tour/overview)* at a glance
* monitor your application in *Real-Time*
* gain *code-level visibility* to every transaction
* install APM Agents *without changing a single line of code*
* have minimal impact on the performance (approximately 3% increase in resource usage)

## Getting Started
 * [Quick-start guide](https://pinpoint-apm.gitbook.io/pinpoint/getting-started/quickstart) for simple test run of Pinpoint
 * [Installation guide](https://pinpoint-apm.gitbook.io/pinpoint/getting-started/installation) for further instructions.

## Deploying Pinpoint to Kubernetes
 * [pinpoint-kubernetes](https://github.com/pinpoint-apm/pinpoint-kubernetes) 
 
## Overview
Services nowadays often consist of many different components, communicating amongst themselves as well as making API calls to external services. How each and every transaction gets executed is often left as a blackbox. Pinpoint traces transaction flows between these components and provides a clear view to identify problem areas and potential bottlenecks.<br/>
For a more intimate guide, please check out our *[Introduction to Pinpoint](https://pinpoint-apm.gitbook.io/pinpoint/#want-a-quick-tour)* video clip.

* **ServerMap** - Understand the topology of any distributed systems by visualizing how their components are interconnected. Clicking on a node reveals details about the component, such as its curr
阅读完整原文

项目深度分析 规则生成(AI 未配置)

综合评分 71.5 分。该项目在“个人可实施性”维度得 32 分,“付费可能性”维度得 72.0 分,差异化空间 100.0 分(评分依据见评分卡)。

将 pinpoint 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期较高 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 pinpoint 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

竞品与相似项目 GitHub Search 真实检索

相似项目数据正在完善中,暂不展示(避免误导)

项目优势与风险

技术成熟度创建于 2014-10-20,近 30 天仍在推送,发布过 67 个 Release
社区活跃Star 13,877 / Fork 3,737 / Issue 510(数据支持,可自行核实)
许可证Apache-2.0
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

此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。