https://devops-monk.com/tags/lifecycle/Recent content in Lifecycle on Devops MonkHugoen-usMon, 04 May 2026 00:00:00 +0000https://devops-monk.com/tutorials/spring-kafka/listener-lifecycle/Mon, 04 May 2026 00:00:00 +0000https://devops-monk.com/tutorials/spring-kafka/listener-lifecycle/Why Control Container Lifecycle? A running listener consumes from Kafka continuously. In production you need to: Pause consumption when a downstream service is overloaded (back-pressure) Resume once the downstream recovers Stop a container entirely during maintenance or feature flag toggles Restart after a configuration change without redeploying Spring Kafka exposes all of this through KafkaListenerEndpointRegistry and the container’s own lifecycle API. Container States stateDiagram-v2 [*] --> Running : start() Running --> Paused : pause() Paused --> Running : resume() Running --> Stopped : stop() Stopped --> Running : start() Paused --> Stopped : stop() Running — polling Kafka, dispatching to listener Paused — broker connection maintained, consumer heartbeat sent, no new records fetched Stopped — consumer thread terminated, partitions released back to group Paused is preferable to stopped for temporary throttling: it avoids a rebalance and keeps the consumer’s partition assignment intact.