jaeger

jaeger

高度可扩展的分布式追踪系统

Jaeger是一个开源分布式追踪平台,用于监控微服务架构系统。它提供分布式上下文传播、事务监控、根因分析、服务依赖分析和性能优化功能。Jaeger具有高可扩展性,支持多种存储后端,提供现代化Web界面。该平台推荐使用OpenTelemetry SDK进行应用检测,并保持与Zipkin的兼容性。Jaeger由Uber创建,现已成为云原生计算基金会的顶级项目。Jaeger支持高并发场景,能处理每天数十亿span数据,充分体现其强大的性能优势。

Jaeger分布式追踪微服务监控可观测性OpenTelemetryGithub开源项目

Stand With Ukraine

<img align="right" width="290" height="290" src="https://www.jaegertracing.io/img/jaeger-vector.svg">

![Slack chat][slack-img] Unit Tests Coverage Status Project+Community stats FOSSA Status OpenSSF Scorecard OpenSSF Best Practices CLOMonitor Artifact Hub

<img src="https://raw.githubusercontent.com/cncf/artwork/main/other/cncf-member/graduated/color/cncf-graduated-color.svg" width="250">

Jaeger - a Distributed Tracing System

💥💥💥 Jaeger v2 is coming! Read the blog post and try it out.

graph TD SDK["OpenTelemetry SDK"] --> |HTTP or gRPC| COLLECTOR COLLECTOR["Jaeger Collector"] --> STORE[Storage] COLLECTOR --> |gRPC| PLUGIN[Storage Plugin] COLLECTOR --> |gRPC/sampling| SDK PLUGIN --> STORE QUERY[Jaeger Query Service] --> STORE QUERY --> |gRPC| PLUGIN UI[Jaeger UI] --> |HTTP| QUERY subgraph Application Host subgraph User Application SDK end end

Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing platform created by Uber Technologies and donated to Cloud Native Computing Foundation. It can be used for monitoring microservices-based distributed systems:

  • Distributed context propagation
  • Distributed transaction monitoring
  • Root cause analysis
  • Service dependency analysis
  • Performance / latency optimization

See also:

Jaeger is hosted by the Cloud Native Computing Foundation (CNCF) as the 7th top-level project (graduated in October 2019). If you are a company that wants to help shape the evolution of technologies that are container-packaged, dynamically-scheduled and microservices-oriented, consider joining the CNCF. For details about who's involved and how Jaeger plays a role, read the CNCF Jaeger incubation announcement and Jaeger graduation announcement.

Get Involved

Jaeger is an open source project with open governance. We welcome contributions from the community, and we would love your help to improve and extend the project. Here are some ideas for how to get involved. Many of them do not even require any coding.

Features

High Scalability

Jaeger backend is designed to have no single points of failure and to scale with the business needs. For example, any given Jaeger installation at Uber is typically processing several billions of spans per day.

Relationship with OpenTelemetry

The Jaeger and OpenTelemetry projects have different goals. OpenTelemetry aims to provide APIs and SDKs in multiple languages to allow applications to export various telemetry data out of the process, to any number of metrics and tracing backends. The Jaeger project is primarily the tracing backend that receives tracing telemetry data and provides processing, aggregation, data mining, and visualizations of that data. For more information please refer to a blog post Jaeger and OpenTelemetry.

Jaeger was originally designed to support the OpenTracing standard. The terminology is still used in Jaeger UI, but the concepts have direct mapping to the OpenTelemetry data model of traces.

CapabilityOpenTracing conceptOpenTelemetry concept
Represent traces as directed acyclic graphs (not just trees)span referencesspan links
Strongly typed span attributesspan tagsspan attributes
Strongly typed events/logsspan logsspan events

Jaeger project recommends OpenTelemetry SDKs for instrumentation, instead of now-deprecated Jaeger SDKs.

Multiple storage backends

Jaeger can be used with a growing a number of storage backends:

  • It natively supports two popular open source NoSQL databases as trace storage backends: Cassandra and Elasticsearch.
  • It integrates via a gRPC API with other well known databases that have been certified to be Jaeger compliant: TimescaleDB via Promscale, ClickHouse.
  • There is embedded database support using Badger and simple in-memory storage for testing setups.
  • ScyllaDB can be used as a drop-in replacement for Cassandra since it uses the same data model and query language.
  • There are ongoing community experiments using other databases, such as InfluxDB, Amazon DynamoDB, YugabyteDB(YCQL).

Modern Web UI

Jaeger Web UI is implemented in Javascript using popular open source frameworks like React. Several performance improvements have been released in v1.0 to allow the UI to efficiently deal with large volumes of data and to display traces with tens of thousands of spans (e.g. we tried a trace with 80,000 spans).

Cloud Native Deployment

Jaeger backend is distributed as a collection of Docker images. The binaries support various configuration methods, including command line options, environment variables, and configuration files in multiple formats (yaml, toml, etc.).

The recommended way to deploy Jaeger in a production Kubernetes cluster is via the Jaeger Operator.

The Jaeger Operator provides a CLI to generate Kubernetes manifests from the Jaeger CR. This can be considered as an alternative source over plain Kubernetes manifest files.

The Jaeger ecosystem also provides a Helm chart as an alternative way to deploy Jaeger.

Observability

All Jaeger backend components expose Prometheus metrics by default (other metrics backends are also supported). Logs are written to standard out using the structured logging library zap.

Security

Third-party security audits of Jaeger are available in https://github.com/jaegertracing/security-audits. Please see Issue #1718 for the summary of available security mechanisms in Jaeger.

Backwards compatibility with Zipkin

Although we recommend instrumenting applications with OpenTelemetry, if your organization has already invested in the instrumentation using Zipkin libraries, you do not have to rewrite all that code. Jaeger provides backwards compatibility with Zipkin by accepting spans in Zipkin formats (Thrift or JSON v1/v2) over HTTP. Switching from Zipkin backend is just a matter of routing the traffic from Zipkin libraries to the Jaeger backend.

Version Compatibility Guarantees

Occasionally, CLI flags can be deprecated due to, for example, usability improvements or new functionality. In such situations, developers introducing the deprecation are required to follow these guidelines.

In short, for a deprecated CLI flag, you should expect to see the following message in the --help documentation:

(deprecated, will be removed after yyyy-mm-dd or in release vX.Y.Z, whichever is later)

A grace period of at least 3 months or two minor version bumps (whichever is later) from the first release containing the deprecation notice will be provided before the deprecated CLI flag can be deleted.

For example, consider a scenario where v1.28.0 is released on 01-Jun-2021 containing a deprecation notice for a CLI flag. This flag will remain in a deprecated state until the later of 01-Sep-2021 or v1.30.0 where it can be removed on or after either of those events. It may remain deprecated for longer than the aforementioned grace period.

Go Version Compatibility Guarantees

The Jaeger project attempts to track the currently supported versions of Go, as defined by the Go team. Removing support for an unsupported Go version is not considered a breaking change.

Starting with the release of Go 1.21, support for Go versions will be updated as follows:

  1. Soon after the release of a new Go minor version N, updates will be made to the build and tests steps to accommodate the latest Go minor version.
  2. Soon after the release of a new Go minor version N, support for Go version N-2 will be removed and version N-1 will become the minimum required version.

Related Repositories

Documentation

Instrumentation Libraries

Jaeger project recommends OpenTelemetry SDKs for instrumentation, instead of Jaeger's native SDKs that are now deprecated.

Deployment

Components

Building From Source

See CONTRIBUTING.

Contributing

See CONTRIBUTING.

Thanks to all the people who already contributed!

<a href="https://github.com/jaegertracing/jaeger/graphs/contributors"> <img src="https://contributors-img.web.app/image?repo=jaegertracing/jaeger" /> </a>

Maintainers

Rules for becoming a maintainer are defined in the GOVERNANCE document. Below are the official maintainers of the Jaeger project. Please use @jaegertracing/jaeger-maintainers to tag them on issues / PRs.

Some repositories under jaegertracing org have additional maintainers.

Emeritus Maintainers

We are grateful to our former maintainers for their contributions to the Jaeger project.

Project Status Meetings

The Jaeger maintainers and contributors meet regularly on a video call. Everyone is welcome to join, including end users. For meeting details, see https://www.jaegertracing.io/get-in-touch/.

Roadmap

See https://www.jaegertracing.io/docs/roadmap/

Get in Touch

Have questions, suggestions, bug reports? Reach the project community via these channels:

Adopters

Jaeger as a product consists of multiple components. We want to support different types of users, whether they are only using our instrumentation libraries or full end to end Jaeger installation, whether it runs in production or you use it to troubleshoot issues in development.

Please see ADOPTERS.md for some of the organizations using Jaeger today. If you would like to add your organization to the list, please comment on our survey issue.

License

Copyright (c) The Jaeger Authors. Apache 2.0 License.

[slack-img]:

编辑推荐精选

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成AI工具AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机AI图像热门
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具酷表ChatExcelAI智能客服AI营销产品使用教程
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

AI辅助写作AI工具AI论文工具论文写作智能生成大纲数据安全AI助手热门
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

AI办公办公工具AI工具博思AIPPTAI生成PPT智能排版海量精品模板AI创作热门
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

下拉加载更多