# linkedin/Burrow

Kafka Consumer Lag Checking

Repository: https://github.com/linkedin/Burrow
Canonical: https://ross.abutalabs.com/products/burrow
Language: Go
License: Apache-2.0
License Family: permissive
Last push: 2026-08-21T16:01:43+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 71, longevity 100
- inputs: {"age_days": 4111, "days_push": 12, "days_rel": 114, "gap_med": 48.0, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3962, forks 817 (observed 2026-08-28T04:08:30.600949+00:00)

## What it is
Burrow is a monitoring service for Apache Kafka that checks consumer lag without requiring static thresholds, evaluating consumer groups over a sliding window of committed offsets. It exposes an HTTP endpoint for on-demand status and supports configurable email and HTTP notifiers for alerts.

## Use cases
- monitor kafka consumer lag
- alert when kafka consumers fall behind
- check consumer group status via http
- monitor multiple kafka clusters
- track consumer offsets without thresholds

## When to choose
- you run Apache Kafka and need automated consumer lag monitoring
- you want threshold-free lag evaluation over a sliding window
- you need an HTTP API for consumer group and broker status
- you want email or webhook alerts for lagging consumer groups

## When to avoid
- you use a message broker other than Kafka
- you need full Kafka metrics dashboards rather than lag checking
- you want a UI-based monitoring tool rather than an HTTP service

## Facets
- artifact type: service
- maturity: active
- function: monitoring, alerting, http-server, message-queue
- domain: monitoring, microservices
- platform: go, self-hosted, cross-platform
- tags: kafka, consumer-lag, apache-kafka, observability, go, messaging, devops, linux, docker

## Member repositories
- linkedin/Burrow (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.600949+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:24:27.566105+00:00, confidence not recorded.
  - readme: https://github.com/linkedin/Burrow (fetched 2026-08-28T04:08:30.600949+00:00, sha b0b939025822)
- Data as of 2026-08-30T08:39:29.467469+00:00.