Database Design Patterns for Reliability
Database Design Patterns for Reliability Reliability in a database means you can trust the data and recover from failures quickly. Good design reduces data loss, avoids inconsistent reads, and keeps services available during problems. A practical approach blends patterns for data structure, operations, and recovery. Event logs and event sourcing Store changes as an append-only stream. The current state is rebuilt by replaying events in order. This pattern gives a clear audit trail and makes recovery straightforward. For example, orders move from OrderPlaced to PaymentCompleted, then OrderShipped, all as events with timestamps and IDs. If a crash happens, replaying events brings the system back to the last known state. ...