Implementing Transactions across Microservices Using the Saga Pattern

In the previous chapter, we explored database design strategies and their significance in ensuring data consistency, scalability, and maintainability within microservices architectures. Up until now, we have examined various techniques, including shared databases, database per service, CQRS, and event sourcing, which are crucial for managing data in distributed systems. While these patterns help establish a solid foundation for handling microservices data, they also introduce a critical challenge: ensuring data consistency across multiple services when executing a business transaction.

Traditional monolithic applications rely on Atomicity, Consistency, Isolation, and Durability (ACID) transactions, where a single database ensures that a transaction is either fully completed or fully rolled back. However, implementing such atomic transactions becomes complex in a microservices-based system, where each service...