Kafka Integration

Collect Kafka metrics and consumer-lag data with Guance DataKit in minutes. One-click setup, 40+ key metrics, full documentation.

Best practices
Kafka Integration

The Guance Kafka integration puts consumer lag first — the one metric that tells you whether downstream consumers are keeping up — alongside the three broker layers (request handling, replication, storage flush). DataKit pulls JMX metrics and consumer-group offsets on a schedule and ships both to Guance, where the lag-first alert rules from the guide below come pre-templated.

Related guideKafka Monitoring: The Complete 2026 Guide

Spec Detail
Collector DataKit input kafka
Protocol JMX (broker) + consumer-group offsets via bootstrap servers
Key metrics consumer lag, under-replicated partitions, request-handler idle ratio, log flush time
Prerequisites JMX exposed on brokers; cluster bootstrap address
Dashboard Pre-built Kafka dashboard, auto-installed on first data
Deep dive Kafka Monitoring Guide

Set up in minutes — install DataKit, enable the kafka input, and your first Kafka metrics appear in Guance within about a minute. Full field list and alert-rule templates live in the Kafka Monitoring Guide.

Related guideHow to Monitor Kafka Consumer Lag: CLI, Exporters, Alerts (2026)

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