How does Rails handle large-scale consistency models in distributed systems?

Rails systems rely on eventual consistency, causal consistency, and reconciliation processes rather than strict ACID guarantees across services.

In distributed architectures, strict consistency is not feasible across services. Rails applications often adopt eventual consistency where updates propagate asynchronously. Some systems implement causal consistency using event ordering. Reconciliation jobs periodically fix inconsistencies caused by network failures or retries. This model is essential for scalability but requires careful design of idempotent operations.