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README
Apache-2.0

DeepFlow

Instant Observability for Cloud & AI Applications

Zero Code, Full Stack, eBPF & Wasm

DOI GitHub Release docker pulls License


简体中文 | English | 日本語

什么是 DeepFlow

DeepFlow 开源项目旨在为复杂的云原生及 AI 应用提供深度可观测性。DeepFlow 基于 eBPF 实现了零侵扰Zero Code)的指标、分布式追踪、调用日志、函数剖析数据采集,并结合智能标签(SmartEncoding)技术实现了所有观测数据的全栈Full Stack)关联和高效存取。使用 DeepFlow,可以让云原生及 AI 应用自动具有深度可观测性,从而消除开发者不断插桩的沉重负担,并为 DevOps/SRE 团队提供从代码到基础设施的监控及诊断能力。

核心特性

  • 任意 Service 的全景图:利用 eBPF 零侵扰绘制生产环境的全景图,包括任意语言开发的应用服务、AI 服务、基础设施服务。内置标准协议解析能力,并提供 Wasm 插件机制扩展解析任意私有协议。零侵扰计算每一次调用在应用程序和基础设施中的全栈黄金指标,快速定界性能瓶颈。
  • 任意 Request 的分布式追踪:基于 eBPF 的零侵扰分布式追踪能力,支持任意语言的应用程序,并完整覆盖网关、服务网格、数据库、消息队列、DNS、网卡等各类基础设施,不留下任何追踪盲点。全栈,自动采集每个 Span 关联的网络性能指标和文件读写事件。从此,分布式追踪进入零插桩的新时代。
  • 任意 Function 的持续性能剖析:以低于 1% 的开销零侵扰采集生产环境进程的性能剖析数据,绘制函数粒度的 OnCPU、OffCPU、GPU、Memory、Network 火焰图,快速定位业务函数、框架函数、运行时函数、动态链接库函数、内核函数、CUDA 函数的全栈性能瓶颈,并自动关联至分布式追踪数据。
  • 无缝集成流行的可观测性技术栈:可作为 Prometheus、OpenTelemetry、SkyWalking、Pyroscope 的存储后端,亦可提供 SQL、PromQL、OTLP 等数据接口作为流行技术栈的数据源。自动为所有观测信号注入统一标签,包括云资源、K8s 容器资源、K8s Label/Annotation、CMDB 中的业务属性等,消除数据孤岛。
  • 存储性能 10x ClickHouse:基于 SmartEncoding 机制,向所有观测信号注入标准化的、预编码的元标签,相比 ClickHouse 的 String 或 LowCard 方案均可将存储开销降低 10x。自定义标签与观测数据分离存储,从此你可安心注入近乎无限维度和基数的标签,且可获得像 BigTable 一样的轻松查询体验。

文档

详细信息请访问文档站点

快速上手

DeepFlow 共有三种版本:

  • DeepFlow Community:DeepFlow 社区版,面向开发人员
  • DeepFlow Enterprise:DeepFlow 企业版,面向组织、解决团队协作的问题
  • DeepFlow Cloud:DeepFlow SaaS 服务,目前处于测试阶段

DeepFlow 社区版由企业版的核心组件构成。通过开源,我们希望让观测更自动,让全世界的开发者更自由。

部署 DeepFlow Community

请参考文档部署 DeepFlow Community。

同时我们也搭建了一个完整的 DeepFlow Community Demo,欢迎体验。登录账号 / 密码:deepflow / deepflow。

体验 DeepFlow Enterprise

你可以访问 DeepFlow Enterprise Demo,目前仅支持中文。

从源码编译 DeepFlow

软件架构

DeepFlow Community 版本主要由 Agent 和 Server 两个进程组成。每个 K8s 容器节点、传统服务器或云主机中运行一个 Agent ,负责该服务器上所有应用进程的数据采集。Server 运行在一个 K8s 集群中,提供 Agent 管理、标签注入、数据写入、数据查询服务。

DeepFlow 软件架构

里程碑

这里有我们未来的 Feature 规划。欢迎 Issue 和 Pull Request。

联系我们

致谢

  • 感谢 eBPF,革命性的 Linux 内核技术
  • 感谢 OpenTelemetry,提供了采集应用可观测性数据的标准 API

荣誉

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