How do you handle transactions in cloud-native applications, especially in distributed systems?

In cloud-native and distributed systems, transaction processing ensures cross-service data consistency, which is crucial for high-reliability scenarios such as financial orders. It guarantees the atomicity and integrity of operations, avoids data conflicts, and is widely used in microservices and event-driven architectures.

Core methods include the Saga pattern (achieving eventual consistency through compensation steps), TCC (Try-Confirm-Cancel), and distributed coordinators like Seata. Features include event-driven, asynchronous compensation, and weak transaction models. Practical applications improve system fault tolerance and scalability, such as coordinating business flows between inventory deduction and payment services.

Implementation steps: 1. Select a model such as Saga. 2. Deploy the coordinator. 3. Define compensation operations (e.g., cancel inventory). A typical scenario is the e-commerce transaction chain: reducing lock contention, with business value being enhanced elasticity and consistency guarantees.