# Klag — deployment

> Klag is an open-source Kafka consumer lag exporter built with Vert.x and Micrometer. It monitors consumer lag, lag velocity, hot partitions, time-based lag, data-loss risk, and consumer-group state, and exports to Prometheus, Datadog, or OTLP (OpenTelemetry). It also exposes an opt-in read-only MCP endpoint for AI agents. The docs include comparisons with other Kafka tools (Burrow, KMinion, AKHQ, Confluent Control Center, Redpanda Console, Grafana, Cruise Control) and guides on how Kafka consumer lag works, common monitoring mistakes, and detecting stuck consumers.

Full index: https://klag.dev/llms.txt | Full text: https://klag.dev/llms-full.txt

## Docs

- [Kubernetes (Helm)](https://klag.dev/deployment/kubernetes/): Deploy Klag on Kubernetes with the official Helm chart, including SASL authentication and ServiceMonitor support.
- [Native Image](https://klag.dev/deployment/native-image/): Run Klag as a GraalVM native binary for ~70-100 ms startup and ~44 MB RSS, ideal for fast scaling and low-footprint deployments.
- [Strimzi](https://klag.dev/deployment/strimzi/): Klag works out of the box with Kafka clusters managed by the Strimzi operator on Kubernetes (KRaft).