How do you handle transaction management in microservices?

Transaction management in microservices architecture involves multiple independent services, aiming to coordinate cross-service operations to ensure system data consistency. Its importance lies in guaranteeing the correct execution of business logic and avoiding partial failure issues in distributed environments; application scenarios include e-commerce order processing, bank transfer systems, etc., which rely on reliable transaction integrity.

The core is implemented through distributed transaction patterns such as Saga, which decomposes transactions into rollbackable sub-steps and adopts eventual consistency (rather than ACID strong consistency). Features include compensation mechanisms to handle errors, with each service maintaining local transactions. In practical applications, this enhances service decoupling but increases coordination complexity, affecting the implementation of elastic scaling on cloud-native platforms like Kubernetes.

The processing method adopts the Saga pattern: defining sequential transactions and reverse compensation operations, such as triggering payment rollback when order creation fails; implementation steps include designing compensation logic, integrating message queues (e.g., Kafka) for coordinated execution, and monitoring transaction status. A typical scenario is the cross-service payment process, where business value is reflected in improving fault tolerance and supporting large-scale microservice scalability.