event-store-design

Implement optimistic concurrency control in your event store by applying per-stream versioning and global ordering constraints. The Skill provides templates and patterns to enforce these constraints across relational, document, or streaming backends.

Persist events immutably using a backend that supports per-stream versioning and global ordering. The Skill provides technology comparisons and practical templates for PostgreSQL, EventStoreDB, Kafka, and DynamoDB to guide your persistence pattern selection.

PostgreSQL works effectively as an event store backend. The Skill includes a minimal PostgreSQL template for implementing an event store, offering architecture guidance for schemas, querying, and scalability within relational databases.

Handle optimistic concurrency control in an event store by applying per-stream versioning and global ordering constraints. The Skill provides templates and patterns to enforce these constraints across relational, document, or streaming backends.

Choose a streaming backend like Kafka for high-throughput global ordering, or a document store like DynamoDB for specific scalability needs. The Skill provides real-world use cases and technology comparisons to evaluate store technologies across these persistence patterns.

Query an event store by reading the immutable per-event logs directly or projecting them into read models. The Skill offers querying best practices and schema templates to ensure data retrieval scales without compromising the immutable event log.