https://devops-monk.com/tags/exactly-once/Recent content in Exactly-Once on Devops MonkHugoen-usMon, 04 May 2026 00:00:00 +0000https://devops-monk.com/tutorials/spring-kafka/idempotent-producer/Mon, 04 May 2026 00:00:00 +0000https://devops-monk.com/tutorials/spring-kafka/idempotent-producer/The Duplicate Problem With acks=all and retries enabled, a produce request might be acknowledged by the broker, but the acknowledgment is lost in the network before reaching the producer. The producer, seeing no response, retries — sending the same record again. The broker writes it a second time. The consumer sees a duplicate. sequenceDiagram participant Producer participant Leader as Broker (Leader) Producer->>Leader: ProduceRequest: OrderPlaced (orderId=1001) Leader->>Leader: Write record at offset 42 ✓ Leader--xProducer: ProduceResponse LOST (network failure) Note over Producer: No ack received — retrying Producer->>Leader: ProduceRequest: OrderPlaced (orderId=1001) [RETRY] Leader->>Leader: Write record at offset 43 ✓ (DUPLICATE!https://devops-monk.com/tutorials/spring-kafka/transactions-eos/Mon, 04 May 2026 00:00:00 +0000https://devops-monk.com/tutorials/spring-kafka/transactions-eos/Why Transactions? At-least-once delivery means a record can be processed and produced more than once after a crash. For most applications, idempotent consumers handle this. But when you need a hard guarantee — either the produce happens and the offset commits, or neither does — you need Kafka transactions. Common scenarios: Consume → transform → produce (read from one topic, write to another) where partial completion is unacceptable Exactly-once aggregations in financial or billing systems Atomic multi-topic produce where records to multiple topics must all land or none land How Kafka Transactions Work sequenceDiagram participant Producer participant Broker participant Consumer Producer->>Broker: initTransactions() [registers transactional.