What databases does this event store skill support?

It provides specific implementation templates and guidance for PostgreSQL, EventStoreDB, DynamoDB, and Marten, covering SQL, NoSQL, and specialized event database options.

Does it include performance optimization techniques?

It provides strategies for snapshotting to prevent long replay times for large streams and indexing recommendations to ensure fast global and per-stream queries.

Can I use this for real-time event processing?

Yes, it includes comprehensive patterns for event subscriptions, global sequencing, and checkpointing, which are essential for building real-time projections and read models.

How does the skill handle data consistency?

The skill implements optimistic concurrency control patterns using stream versioning to ensure that concurrent writes to the same aggregate do not result in data loss or inconsistency.

Event Store Design & Implementation

Name: Event Store Design & Implementation
Author: Microck

byMicrock

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Gestión de Bases de Datos

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

This skill provides comprehensive guidance and production-ready templates for building event-sourced infrastructure. It covers the complete lifecycle of event store development, from architectural planning and technology selection (PostgreSQL, EventStoreDB, DynamoDB) to implementing optimistic concurrency, global sequencing, and event subscriptions. Whether you are setting up a custom SQL-based store or integrating specialized event databases, this skill ensures your implementation follows industry best practices for immutability, ordering, and scalability.

Características Principales

01Snapshotting strategies for aggregate state performance optimization

02Optimistic concurrency control and stream versioning patterns

03Production-ready SQL schemas and Python implementation templates

04Subscription and checkpoint management for reactive event processing

052 GitHub stars

06Multi-database support including PostgreSQL, EventStoreDB, and DynamoDB

Casos de Uso

01Choosing and configuring the right event storage technology for a new project

02Building the persistence layer for an event-sourced microservice

03Implementing a high-performance event subscription system for projections

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck event-store-design

For use in Claude.ai and ChatGPT

Download Skill