kafka.topic.config.retention_ms

When consumer processing rate falls below production rate, lag grows continuously until retention limits are reached, risking data loss. Lag trends reveal impending failures before customers notice.

When oldest message age approaches retention limit and consumer lag is high, messages will be deleted before consumption, causing data loss.