Design and implement high-performance event stores with robust patterns for event-sourced architectures.
This skill provides a comprehensive framework for architecting and deploying event stores, the backbone of event-sourced systems. It offers domain-specific guidance on choosing the right storage technology—whether it's EventStoreDB, PostgreSQL, or DynamoDB—and includes production-ready templates for schemas, optimistic concurrency control, and event subscriptions. By following these patterns, developers can ensure their event logs are immutable, ordered, and scalable, facilitating complex state management, audit trails, and real-time data processing across microservices.
Key Features
01Technology comparison matrix for EventStoreDB, Kafka, PostgreSQL, and DynamoDB
02Architecture blueprints for aggregate streams and global position tracking
03Production-ready SQL and Python templates for event persistence and retrieval
040 GitHub stars
05Subscription and checkpoint management for real-time event-driven workflows
06Optimistic concurrency control patterns using versioned streams
Use Cases
01Building custom event storage infrastructure on top of existing SQL or NoSQL databases
02Setting up real-time event subscriptions and projection engine foundations
03Implementing optimistic concurrency and idempotent writes in event-driven systems
