Kafka allows implementing the Saga pattern by coordinating distributed transactions through events.
In distributed systems, transactions span multiple services. The Saga pattern breaks a transaction into a series of smaller, atomic steps, each with a compensating action if it fails. Kafka facilitates this by using events to trigger each step. For example, in an e-commerce application, placing an order might involve reserving inventory, charging payment, and updating delivery status. Each step can produce and consume Kafka events, ensuring the entire transaction is eventually consistent.
Additional Notes
How can Kafka help manage distributed transactions using Sagas?