event-store-design

To design an event store for event sourcing, you must define the architecture involving streams and global positions, then select a suitable persistence technology like PostgreSQL or EventStoreDB. This process yields a structured blueprint for your microservice infrastructure.

The best database for event sourcing depends on your specific requirements, as you must evaluate technologies like EventStoreDB, PostgreSQL, Kafka, DynamoDB, and Marten. Comparing their suitability for streams and global positions yields the optimal infrastructure choice.

To implement an event store using PostgreSQL and Python, use provided SQL schemas to define tables and Python code to handle event persistence. This generates a basic functional event store implementation with clear usage examples.

Yes, you can use DynamoDB or EventStoreDB for your event store, as specific implementation templates and usage examples are provided for both. Evaluating their features against PostgreSQL and Kafka yields the right technology selection for your system.

Key components of event store architecture include streams for grouping events by entity and global positions for ordering across the entire store. Understanding these mechanisms provides the foundation required for robust event-sourced system design.