Introduction
When multiple services need to work together to complete a task, sometimes one service fails and leaves the system in a bad state. The Saga pattern helps by breaking the task into smaller steps and making sure each step can be undone if something goes wrong, keeping everything consistent.
When you have multiple microservices that must update their data together but cannot use a single database transaction.
When you want to ensure that if one step in a process fails, previous steps can be reversed to avoid partial updates.
When you need to coordinate order processing, payment, and inventory updates across different systems.
When you want to use RabbitMQ to send messages that trigger each step and handle failures with compensating actions.
When you want to improve reliability and consistency in distributed systems without locking resources for a long time.