# 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

```sh
sudo av install brew:burrow
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install burrow
```

  证据: local Homebrew formula metadata

### Linux

- Debian apt (92%):

```sh
sudo apt install burrow
```

  证据: Debian stable package indexes: burrow from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz

## 软件包事实

- **软件包键:** brew:burrow
- **软件包管理器:** Homebrew
- **版本:** 1.9.6
- **来源摘要:** Kafka Consumer Lag Checking
- **主页:** <https://github.com/linkedin/Burrow>
- **仓库:** <https://github.com/linkedin/Burrow>
- **最后更新:** 2026-07-25T14:19:45-04:00
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- burrow (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 1.9.6
## 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.

### 来源

- <https://engineering.linkedin.com/apache-kafka/burrow-kafka-consumer-monitoring-reinvented>
- <https://github.com/linkedin/Burrow>
- <https://raw.githubusercontent.com/linkedin/Burrow/master/CHANGELOG.md>
- <https://raw.githubusercontent.com/linkedin/Burrow/master/README.md>
- <https://www.linkedin.com/blog/engineering/open-source/revisiting-burrow-burrow-1-1->
- source_facts.package-manager


## 安全说明

formula declares a Homebrew service.

- **Geiger 风险:** orange / 中
- formula declares a Homebrew service


## 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

- Unix: ./burrow.toml, /etc/burrow/burrow.toml
## 其他软件包管理器记录

- Debian apt - burrow - 1.2.1-4+b7: normalized package name match | Debian stable package indexes: burrow from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | Apache Kafka consumer lag checking | https://github.com/linkedin/Burrow
- Ubuntu apt - burrow - 1.2.1-2ubuntu2: normalized package name match | Ubuntu 24.04 LTS package indexes: burrow from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz | Apache Kafka consumer lag checking | https://github.com/linkedin/Burrow


## Combined YAML source

View the package source record on GitHub. [combined/burrow.yml](https://github.com/mxcl/pkgdb/blob/main/combined/burrow.yml)


## 来源

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- external package-manager database matches
- cross-ecosystem install command graph
