How does this skill handle write conflicts?

It implements optimistic concurrency control using stream versioning, ensuring that events are only appended if the expected version matches the current stream state.

What is an Event Store?

An event store is a specialized database designed to store an immutable sequence of events representing state changes in an application, allowing you to reconstruct state at any point in time.

Which database technologies does this skill cover?

This skill provides specific implementation patterns and schemas for EventStoreDB, PostgreSQL, Apache Kafka, DynamoDB, and Marten (.NET).

Is this suitable for high-throughput systems?

Yes, the skill covers scaling strategies and technology comparisons (like Kafka vs. EventStoreDB) to help you choose the right infrastructure for your throughput requirements.

Event Store Design

Name: Event Store Design
Author: GaitanS

byGaitanS

Database Management

Design and implement robust event-sourced storage systems with optimized schemas and persistence patterns.

About

The Event Store Design skill provides a comprehensive framework for building production-grade event-sourced infrastructure. It guides developers through selecting the right storage technology—whether using dedicated tools like EventStoreDB or leveraging existing databases like PostgreSQL and DynamoDB—while ensuring core requirements like immutability, global ordering, and optimistic concurrency are met. This skill is essential for architects and backend developers building distributed systems, CQRS patterns, or audit-heavy applications where current state must be derived from a history of immutable events.

Key Features

Multi-provider implementation templates for PostgreSQL, EventStoreDB, and DynamoDB
0 GitHub stars
Stream-based architecture design for aggregate-level persistence
Global event ordering and subscription logic for real-time projections
Snapshoting and checkpointing strategies to optimize read-side performance
Optimistic concurrency control and versioning patterns to prevent race conditions

Use Cases

Migrating from state-based persistence to event sourcing using existing database technologies
Implementing the persistence layer for a Command Query Responsibility Segregation (CQRS) architecture
Building high-performance backends for systems requiring complete audit trails and history

About

Key Features

Multi-provider implementation templates for PostgreSQL, EventStoreDB, and DynamoDB
0 GitHub stars
Stream-based architecture design for aggregate-level persistence
Global event ordering and subscription logic for real-time projections
Snapshoting and checkpointing strategies to optimize read-side performance
Optimistic concurrency control and versioning patterns to prevent race conditions

Use Cases

Migrating from state-based persistence to event sourcing using existing database technologies
Implementing the persistence layer for a Command Query Responsibility Segregation (CQRS) architecture
Building high-performance backends for systems requiring complete audit trails and history