linkedin/Burrow
Kafka Consumer Lag Checking observed · 2026-10-20
Health v2 · maintenance only
83/100
- Activity 90
- Release rhythm 64
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 48.0
- age_days: 4159
- days_rel: 162
- days_push: 60
- n_releases_24m: 7
Adoption not part of the score
3964 stars · 819 forks observed · 2026-10-20
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
service · maturity active
monitoring alerting http-server message-queue monitoring microservices go self-hosted cross-platform kafka consumer-lag apache-kafka observability go messaging devops linux docker
1 source
- readme: https://github.com/linkedin/Burrow · fetched 2026-10-20 · b0b939025822
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| linkedin/Burrow | main | 83 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem