Cloud-Native Data Management | Databases & State Management

Eventual consistency means systems will eventually become consistent, but may be temporarily inconsistent. This is common in distributed systems where immediate consistency is expensive or impossible. Design applications to handle temporary inconsistencies, use idempotent operations, and verify eventual state.

CQRS separates read and write operations. Write operations utilize command models optimized for updates, while read operations employ query models designed for retrieving data efficiently. This separation allows independent scaling, improved performance, and greater flexibility within the system.

An event-driven architecture utilizes an event bus where services publish events when data changes occur. Other subscribed services then react to these events, updating their own data accordingly. Change Data Capture (CDC) can be used for database replication and idempotent event handlers are crucial.

Event sourcing stores all changes as a sequence of events, allowing you to reconstruct the current state by replaying these events. This provides a complete audit trail, enables time travel functionality and supports event replay, and cleanly separates write and read models.