Microservice Distributed Transactions 101: Guide to Choose the Best Strategy
Your application relies on multiple services, and maintaining data consistency across distributed transactions is crucial. How would you design and implement a distributed transaction management system to ensure atomicity and isolation?
In a microservices architecture, one of the challenges is managing distributed transactions.
Traditional monolithic applications often use a single, centralized database and can rely on ACID transactions (Atomicity, Consistency, Isolation, Durability) to ensure data consistency.
However, in a microservices environment where each service may have its own database, to complete a whole task (from order create to complete), multiple server needs to complete their respective transactions (deduce money in payment service, deduce quantity in inventory service, then complete order, sends to shipment in shipping service). If any of the service fails meanwhile (failed to deduce quantity in inventory-service) then the previous transactions (order creation, deduce money in payment service) are meaningless (cannot check/update quantity in inventory service but already deducted money from wallet in payment service, order created).
