ddd-event-driven

Explain event-driven architecture patterns for microservices with domain events, CQRS, and event sourcing.

Updated Feb 27, 2026

Search Tags:#architecture #event-driven #cqrs #system-design #event-sourcing #domain-events

Ready to run

npx skills add https://github.com/cooker/wx-apartment-ledger --skill ddd-event-driven

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ddd-event-driven
Source: https://github.com/cooker/wx-apartment-ledger/tree/main/.agents/skills/ddd-event-driven
Command: npx skills add https://github.com/cooker/wx-apartment-ledger --skill ddd-event-driven

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps teams design and implement event-driven architectures by centering on domain events, event sourcing, and CQRS patterns to improve scalability, decoupling, and traceability across microservices.

Core Features & Use Cases

Domain events design guidance for modeling business events and integrating bounded contexts
Explanations of event sourcing and CQRS with practical, real-world scenarios
Best practices for event modeling, reliability, and eventual consistency in distributed systems

Quick Start

Describe a minimal first step to start implementing an event-driven system in a microservices example.

Frequently Asked Questions about ddd-event-driven

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

FAQPage Schema

How do I design domain events for microservices architecture?▼

Domain events model business occurrences to integrate bounded contexts. They decouple microservices by capturing state changes as standalone events, allowing independent services to react asynchronously and maintain loose coupling across distributed systems.

What is event sourcing and CQRS in system design?▼

Event sourcing persists state changes as an immutable event log, while CQRS separates read and write operations. Together they improve traceability and scalability by reconstructing state from historical events and optimizing queries against tailored read models.

How do I handle eventual consistency in event-driven systems?▼

Eventual consistency in event-driven systems requires reliable event delivery and error handling. You must implement retry mechanisms, idempotent processing, and compensating actions to manage distributed state while accepting temporary data divergence.

When should I use event-driven architecture over request-response?▼

Use event-driven architecture when you need scalable, loosely coupled services across microservices. It fits scenarios requiring asynchronous processing and high throughput, rather than synchronous request-response flows demanding immediate consistency.

What are the best practices for event modeling in production environments?▼

Event modeling best practices include defining clear event schemas, ensuring reliable delivery, and handling errors. Production environments must satisfy requirements for event versioning, idempotency, and monitoring to maintain eventual consistency.

How do I start implementing event sourcing in a microservices example?▼

Start implementing event sourcing by identifying a single bounded context and defining its initial domain events. Apply these events to update write models and project them into read models to establish a minimal CQRS workflow.