event-store-design

Designing an event store involves defining core architecture components and flow for immutable, ordered, and versioned event persistence. This Skill provides structural templates and best practices to establish the foundational event store schema.

Implementing event sourcing with PostgreSQL requires a specific schema for immutable, ordered, and versioned events. This Skill provides SQL schemas and Python code examples to handle append and read operations directly within a PostgreSQL database.

Comparing EventStoreDB and DynamoDB for event sourcing involves evaluating technology suitability for ordered, versioned event persistence. This Skill provides a technology comparison alongside implementation templates for both EventStoreDB and DynamoDB.

You need an event store when designing a new microservice that requires an event-driven architecture. It provides the fundamental immutable, ordered, and versioned event persistence layer necessary to capture domain changes reliably.

Yes, you can use Python to implement event sourcing operations. This Skill provides Python code examples that demonstrate how to append and read versioned events using PostgreSQL and DynamoDB as the underlying event store technologies.