event-store-design

Design and implement append-only event stores for event-sourced systems. Comprehensive guide to designing event stores for event-sourced applications. - Covers architecture patterns, technology comparison (EventStoreDB, PostgreSQL, Kafka, DynamoDB), and core requirements including append-only semantics, ordering, versioning, and subscriptions - Includes production-ready PostgreSQL schema with indexing strategy, snapshots table, and subscription checkpoints for managing consumer state - Provides Python event store implementation with optimistic concurrency control, stream reading, global event reading, and subscription handling with checkpoint persistence - Includes ready-to-use templates for EventStoreDB, DynamoDB, and category projections, plus best practices for stream ID design, idempotency, and event immutability - Designing event sourcing infrastructure - Choosing between event store technologies - Implementing custom event stores - Optimizing event storage and retrieval - Setting up event store schemas - Planning for event store scaling - Use stream IDs that include aggregate type - Order-{uuid} - Include correlation/causation IDs - For tracing - Version events from day one - Plan for schema evolution - Implement idempotency - Use event IDs for deduplication - Index appropriately - For your query patterns - Don't update or delete events - They're immutable facts - Don't...