Automic VaultAutomic Vault

brew

使用 Homebrew, apt 安装 burrow

查看 burrow 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install burrow

local Homebrew formula metadata

Linux

Debian apt已验证 · 92%
sudo apt install burrow

Debian stable package indexes · burrow · 来源: deb.debian.org

概览

软件包摘要

Kafka Consumer Lag Checking

命令和别名

  • burrow

历史

项目历史与用法

Burrow is LinkedIn's Kafka consumer-lag monitoring service. Its core contribution is evaluating consumer health over a sliding window of committed offsets instead of alerting on fixed lag thresholds, which reduces false positives for large Kafka estates.

项目历史

LinkedIn announced Burrow on June 12, 2015 as an open-source project from its Data Infrastructure SRE team. The launch post explained that standard Kafka lag metrics were not enough for wildcard consumers, mirror makers, and large consumer groups because partition-level lag and fixed thresholds produced noisy or incomplete alerts.

The initial open-source design monitored Kafka-committed offsets, exposed consumer state over HTTP, and reduced many per-partition signals into an OK, warning, or error status. The repository changelog records 0.1.0 as the initial release on October 7, 2015, 0.1.1 in May 2016 with Zookeeper and Storm offset checking, and later 1.x releases that tracked newer Kafka and Go ecosystems.

LinkedIn revisited Burrow in May 2018 for Burrow 1.1, describing a rewrite that added tests, modularized components, improved topic-deletion handling, moved configuration toward Viper-supported formats such as TOML and JSON, and made the project easier to maintain and embed.

采用历史

Burrow was adopted quickly by other companies after LinkedIn's release, according to LinkedIn's 2018 follow-up post. The input metadata records packages for Homebrew, Debian, and Ubuntu, and the GitHub project remains a common reference point for Kafka consumer-lag monitoring.

使用方式

Operators run Burrow with a configuration directory, often mounted at `/etc/burrow`, then query HTTP endpoints for Kafka cluster, consumer group, broker, and status information. Burrow can also notify via email or HTTP integrations, making it suitable for alert pipelines that want health states rather than raw lag counters.

为什么软件包爱好者会关心

Burrow is important to package nerds because it captures a very specific operational lesson from large Kafka deployments: good monitoring packages often encode domain-specific judgment, not just metrics collection. It also illustrates the Go-era pattern of distributing infrastructure daemons as relatively easy-to-package single binaries with TOML config.

时间线

  • 2015-06-12: LinkedIn announced Burrow as an open-source Kafka consumer monitoring project.
  • 2015-10-07: Burrow 0.1.0 initial release recorded in the changelog.
  • 2016-05-01: Burrow 0.1.1 added Zookeeper and Storm offset checking.
  • 2018-05-15: LinkedIn announced Burrow 1.1 and described the rewrite and modularization work.
  • 2022-2026: 1.x releases continued to update Go, dependencies, and Kafka compatibility.

Related projects

  • Burrow is related to Apache Kafka, Kafka MirrorMaker, ZooKeeper, Storm, Sarama, Viper, Prometheus exporters, and Kafka management or monitoring tools such as Kafka Manager/CMAK and broker-level metrics systems.

安全态势

风险级别:orange

formula declares a Homebrew service.

风险分类器

orange 风险 · 中 置信度 · infrastructure

原因

  • formula declares a Homebrew service

信号

  • metadata:service

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • formula 元数据声明了服务或守护进程块。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 构建元数据列出 1 个构建依赖。

建议审查

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。

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
./burrow.toml/etc/burrow/burrow.toml

可执行文件

已安装的可执行文件

命令类型暴露范围备注
burrowcli全局可执行文件

新鲜度

版本和新鲜度

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。

页面生成时间2026-07-25
管理器版本1.9.6
管理器更新时间2026-07-23
本地数据OK
上游当前
检测到的最新版本v1.9.6

https://github.com/linkedin/Burrow

  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:burrow
版本1.9.6
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/burrow
主页https://github.com/linkedin/Burrow
仓库https://github.com/linkedin/Burrow
上游文档https://github.com/linkedin/Burrow#readme
许可证Apache-2.0
源码归档https://github.com/linkedin/Burrow/archive/refs/tags/v1.9.6.tar.gz
最后更新2026-07-23T00:32:39-04:00
Pulseupdated
构建依赖go
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务declared

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Nameburrow
Version Scheme0
Revision0
Head VersionHEAD
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • head
  • stable

源数据库匹配

其他软件包管理器记录

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。

Debian apt95%

burrow 1.2.1-4+b7

Apache Kafka consumer lag checking

https://github.com/linkedin/Burrow

sudo apt install burrow
  • Section: devel
  • Architecture: amd64
  • Source Package: burrow
  • 3 依赖
  • normalized package name match
  • 匹配方式:Burrow
Debian stable package indexes · deb.debian.org · Debian stable package indexes: burrow from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz
Ubuntu apt95%

burrow 1.2.1-2ubuntu2

Apache Kafka consumer lag checking

https://github.com/linkedin/Burrow

sudo apt install burrow
  • Section: universe/devel
  • Architecture: amd64
  • 3 依赖
  • normalized package name match
  • 匹配方式:Burrow
Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: burrow from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment