How does this skill handle concurrency?

The skill provides patterns for optimistic concurrency control using versioning, which ensures that event appends are rejected if the stream has been updated by another process since it was last read.

What is an event store?

An event store is a specialized database designed to store a sequence of state-changing events as an append-only log, serving as the primary source of truth in event-sourced systems.

Which database is best for event sourcing?

While EventStoreDB is built specifically for this purpose, PostgreSQL is a highly reliable general-purpose choice, and DynamoDB is excellent for AWS-native serverless environments.

Does this support real-time updates?

Yes, the skill includes templates for implementing subscription checkpoints and polling mechanisms to ensure downstream consumers and projections stay synchronized with the event store.

Event Store Design & Implementation

Name: Event Store Design & Implementation
Author: pur3v4d3r

bypur3v4d3r

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Database Management

Designs and implements robust event stores for event-sourced systems using various database technologies and architectural patterns.

About

This skill provides comprehensive architectural guidance and implementation patterns for building event stores, a critical component of event-sourced applications. It helps developers choose between specialized databases like EventStoreDB and general-purpose options like PostgreSQL or DynamoDB, providing ready-to-use schemas and code templates for event persistence, optimistic concurrency control, and real-time subscriptions. Whether you are building from scratch or optimizing an existing event-sourcing infrastructure, this skill ensures best practices for append-only storage, versioning, and stream management.

Key Features

1 GitHub stars
Optimistic concurrency control implementation
Architecture design for event-sourced systems
PostgreSQL schema templates for event storage
Real-time event subscription patterns
Multi-provider support including EventStoreDB and DynamoDB

Use Cases

Implementing optimistic concurrency to handle race conditions in distributed systems
Setting up real-time event projections and global subscriptions
Building a custom event store on top of an existing relational database

About

Key Features

1 GitHub stars
Optimistic concurrency control implementation
Architecture design for event-sourced systems
PostgreSQL schema templates for event storage
Real-time event subscription patterns
Multi-provider support including EventStoreDB and DynamoDB

Use Cases

Implementing optimistic concurrency to handle race conditions in distributed systems
Setting up real-time event projections and global subscriptions
Building a custom event store on top of an existing relational database