persistencefriendly

Persistencefriendly describes software components or APIs that are designed to interact with storage in a predictable, durable way. The term emphasizes ease of persistence and recoverability, rather than focusing solely on in-memory behavior.

Key characteristics include explicit state boundaries, clear ownership of persistence, idempotent operations, and compatibility with common persistence strategies such as relational databases, document stores, or event stores. Persistence-friendly designs often employ patterns like repositories or data mappers, the unit of work, and careful serialization. They favor stable schemas, versioned data models, and forward- and backward-compatibility in migrations.

In practice, persistence-friendly components separate domain logic from infrastructure concerns, provide deterministic serialization, and expose persistence-agnostic interfaces that can be implemented by multiple backends. They tend to require explicit handling of errors, retries, and audit trails, and may incorporate event sourcing or snapshotting to maintain recoverable histories.

Benefits include improved reliability, easier reconstruction after failures, simpler testing, and smoother scaling across storage backends. Trade-offs can include added architectural complexity, potential performance overhead, and tighter coupling to the chosen persistence approach unless interfaces are well abstracted.

The concept is used in discussions of modern software design, data modeling, and API design where durability and recoverability are priorities, and is related to terms such as persistence layer, ORM, event sourcing, and idempotent API design.