ddd-event-driven

Guide event-driven architecture design with domain events, event sourcing, and CQRS.

610|93|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/partme-ai/full-stack-skills --skill ddd-event-driven-partme-ai
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Skill: ddd-event-driven
Source: https://github.com/partme-ai/full-stack-skills/tree/main/skills/ddd-event-driven
Command: npx skills add https://github.com/partme-ai/full-stack-skills --skill ddd-event-driven-partme-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides comprehensive guidance and best practices for implementing event-driven architectures, enabling more scalable, resilient, and decoupled systems.

Core Features & Use Cases

  • Domain Events: Understand and implement domain events for clear communication within bounded contexts.
  • Event Sourcing: Learn how to use event streams as the primary source of truth for application state.
  • CQRS: Explore Command Query Responsibility Segregation patterns for optimizing read and write operations.
  • Event Patterns: Discover common patterns like Event Notification, Event-Carried State Transfer, and Event-Based Choreography.
  • Use Case: When designing a new microservice, use this skill to understand how to model domain events and choose an appropriate event sourcing strategy.

Quick Start

Provide a detailed explanation of how to implement domain events in a microservices architecture.

Frequently Asked Questions about ddd-event-driven

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is event-driven architecture in microservices?

Event-driven architecture is a design paradigm where microservices communicate asynchronously through domain events, enabling decoupled systems. It uses event streams for state changes, allowing bounded contexts to operate independently while maintaining scalability.

How do I implement domain events in a microservices architecture?

To implement domain events in microservices, you model state changes as discrete events and publish them to an event stream. This allows bounded contexts to react to changes asynchronously, ensuring clear communication without tight coupling between services.

When should I use event sourcing in distributed systems?

Use event sourcing in distributed systems when you need an immutable audit log or the ability to reconstruct past states. It uses append-only event streams as the primary source of truth, ensuring resilience and enabling complex temporal queries.

Does CQRS work with event sourcing for scalable systems?

CQRS works effectively with event sourcing by separating command execution from query models. This pattern optimizes read and write operations independently, allowing distributed systems to scale efficiently by using tailored data stores for each operation.

What are common event patterns for decoupled systems?

Common event patterns for decoupled systems include Event Notification, Event-Carried State Transfer, and Event-Based Choreography. These patterns define how microservices exchange domain events to coordinate workflows without direct synchronous dependencies.

Why use event-driven architecture over synchronous microservices?

Use event-driven architecture over synchronous microservices to achieve higher scalability and resilience. By relying on asynchronous domain events, systems avoid blocking calls, reduce cascading failures, and allow bounded contexts to process state changes independently.