event-store-design

Designing an event store involves creating immutable, append-only, per-stream versioned event histories to ensure reliable state reconstruction. You must model streams, design schemas, and implement idempotent writes to support real-time processing and replayability.

Comparing event store technologies involves evaluating Postgres, EventStoreDB, Kafka, and DynamoDB against your specific needs. Key factors include append-only semantics, per-stream ordering, versioning, subscriptions, and idempotent write capabilities across distributed services.

Append-only per-stream versioning ensures accurate history by strictly appending immutable events to specific streams in sequence. This guarantees reliable state reconstruction and auditability without modifying or deleting past events within the event store architecture.

You need snapshots and subscriptions in your event store to support real-time processing and replayability. Snapshots optimize state reconstruction by caching aggregate states, while subscriptions enable downstream services to react to new events asynchronously.

Yes, you can use Postgres or DynamoDB as an event store for distributed services. Both platforms are evaluated for their ability to handle append-only semantics, per-stream ordering, versioning, subscriptions, and idempotent writes in scalable architectures.

Implementing idempotent writes in an event store requires designing schemas that reject duplicate events within a stream. This ensures that replaying identical events yields the same state, maintaining reliable state reconstruction and accurate per-stream versioning.