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linkedin/kafka-monitor

Xinfra Monitor monitors the availability of Kafka clusters by producing synthetic workloads using end-to-end pipelines to obtain derived vital statistics - E2E latency, service produce/consume availability, offsets commit availability & latency, message loss rate and more. observed · 2026-08-28

github.com/linkedin/kafka-monitor · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

27/100

  • Activity 10
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3808
  • days_rel: n/a
  • days_push: 542
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2064 stars · 446 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Xinfra Monitor (formerly Kafka Monitor) is a Java framework for running long-running Kafka system tests and monitoring Kafka cluster health via synthetic end-to-end produce/consume pipelines. It emits vital metrics such as E2E latency, produce/consume availability, offset commit latency, and message loss rate via JMX without requiring application changes.

Use cases

  • monitor kafka cluster availability end to end
  • measure kafka end-to-end produce-consume latency
  • detect kafka message loss rate
  • run long-running kafka system tests in a real cluster
  • verify every broker handles monitor topic partitions
  • export kafka health metrics to jmx or prometheus

When to choose

  • you operate kafka clusters and need continuous synthetic health checks
  • you want to catch rare kafka regressions that only appear over long runs
  • you need broker-level latency and availability metrics without touching your apps

When to avoid

  • you only need simple broker CPU/memory metrics rather than end-to-end pipeline checks
  • you do not use Apache Kafka
  • you need a hosted SaaS monitoring solution with dashboards out of the box

Facets

framework · maturity active

monitoring testing benchmarking alerting monitoring microservices jvm self-hosted kafka synthetic-monitoring end-to-end-latency cluster-health jmx-metrics system-tests devops messaging

1 source

Member repositories

RepositoryRoleHealth v2
linkedin/kafka-monitormain27

For agents

markdown · JSON · MCP: product_card(name="linkedin/kafka-monitor")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem