macOS
brew install zipkinlocal Homebrew formula metadata
安装
brew install zipkinlocal Homebrew formula metadata
nix profile install nixpkgs#zipkinnixpkgs package indexes · pkgs/by-name/zi/zipkin/package.nix · 来源: api.github.com
概览
Collect and visualize traces written in Zipkin format
历史
Zipkin is a distributed tracing system born inside Twitter and later stewarded by the OpenZipkin volunteer organization. For package users it is the classic lightweight trace collector and UI: run a server, point instrumented services at it, and inspect latency paths through a service graph.
Twitter announced Zipkin as open source on 7 June 2012, describing it as a system created to gather timing data for requests moving through the services behind the Twitter API. The announcement says Zipkin began during Twitter's first Hack Week as a basic implementation of the Google Dapper paper for Thrift, then grew to support tracing HTTP, Thrift, Memcache, SQL, and Redis requests.
OpenZipkin later became the project home. The official community page says Zipkin was originally created by Twitter and is now run by the OpenZipkin volunteer organization, which stewards code, docs, specs, and support.
The server evolved into a standalone Java service with collectors, storage options, a query/UI layer, and instrumentation integrations. The current README and site describe support for HTTP or Kafka reporting, alternatives such as ActiveMQ, gRPC, RabbitMQ, and Pulsar, and storage backends including in-memory, Cassandra, and Elasticsearch.
Zipkin's initial adoption came from Twitter's own production need to understand latency in a service-oriented architecture. The 2012 announcement says it helped find optimizations such as removing memcache requests, rewriting slow MySQL SELECTs, and fixing service timeouts.
After open sourcing, Zipkin became one of the default names in distributed tracing alongside systems such as Dapper-inspired internal tools and later Jaeger. Its adoption was helped by a simple local demo path, a web UI, many instrumentation libraries, and a data model that other systems could emit.
The OpenZipkin community page describes a volunteer-run project with GitHub repositories, a website, mailing list, chat, support channels, and community events. That community model is part of why Zipkin remained packageable after its Twitter-origin architecture changed hands.
A typical user runs the Zipkin server, instruments applications with a tracer or instrumentation library, sends spans to Zipkin, and queries traces by service, operation, tags, duration, or trace ID. The UI shows trace waterfalls and a dependency diagram for aggregate service relationships.
For local or package-manager use, the README documents running the server as a jar, Docker container, or installed command, then opening the UI on the Zipkin endpoint. In production, users choose collectors and storage backends according to the traffic and retention requirements of their service architecture.
Zipkin is important in package catalogs because it makes distributed tracing something a developer can install and run locally, not only a hosted observability product. That has made it useful for demos, integration tests, platform teams, and service owners validating instrumentation.
It also occupies a historical bridge between the Dapper paper era and the broader observability ecosystem. The package is a runnable artifact of how tracing moved from large-company infrastructure into everyday open-source service stacks.
安全态势
formula declares a Homebrew service.
orange 风险 · 中 置信度 · infrastructure
在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
zipkin | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。
安装元数据
| 软件包键 | brew:zipkin |
|---|---|
| 版本 | 3.6.1 |
| 软件包管理器 | Homebrew |
| 主页 | https://zipkin.io |
| Bottle | 未记录 |
| 服务 | 未声明 |
源数据库匹配
匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。
zipkin
nix profile install nixpkgs#zipkin来源线索
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
View the package source record on GitHub.