partme-ai/ddd-event-driven

When to use this skill

Use this skill whenever the user wants to:

• Use domain events to decouple aggregates and services
• Design event sourcing systems where state is derived from an event stream
• Implement CQRS (Command Query Responsibility Segregation)
• Choose and integrate message brokers (Kafka, RabbitMQ, etc.)
• Ensure reliable event delivery with outbox patterns

How to use this skill

Workflow

1. Identify domain events that represent "facts that have happened" within aggregates
2. Design the event flow: publication, transport (message bus), and consumption
3. Choose the pattern: simple domain events, event sourcing, or full CQRS
4. Implement delivery guarantees: at-least-once delivery with idempotent consumers

1. Domain Event Definition

public record OrderPlacedEvent(
    String orderId,
    String customerId,
    BigDecimal totalAmount,
    Instant occurredAt
) implements DomainEvent {}

2. Publishing Domain Events

public class Order extends AggregateRoot {
    public void place(List<OrderItem> items) {
        // Business logic...
        this.status = OrderStatus.PLACED;
        registerEvent(new OrderPlacedEvent(this.id, this.customerId, this.total, Instant.now()));
    }
}

3. Event Sourcing Pattern

public class Account {
    private BigDecimal balance = BigDecimal.ZERO;
    private final List<DomainEvent> changes = new ArrayList<>();

    public void apply(MoneyDepositedEvent event) {
        this.balance = this.balance.add(event.amount());
    }

    public static Account reconstitute(List<DomainEvent> events) {
        Account account = new Account();
        events.forEach(account::apply);
        return account;
    }
}

4. CQRS Overview

Write Side:                          Read Side:
Command → Aggregate → Events    →    Event Handler → Read Model (View)
                              (message bus)

5. Outbox Pattern for Reliable Delivery

// Save event to outbox table in the same transaction as the aggregate
@Transactional
public void placeOrder(PlaceOrderCommand cmd) {
    Order order = Order.place(cmd);
    orderRepository.save(order);
    outboxRepository.save(new OutboxEntry("OrderPlaced", serialize(order.events())));
}
// A separate poller publishes outbox entries to the message broker

Best Practices

• Name events in past tense; include the aggregate ID and essential data only — avoid large payloads or sensitive information
• Guarantee at-least-once delivery with idempotent consumers; use an outbox table with polling for reliable publishing
• Define an explicit event versioning and compatibility strategy (additive fields, new topics)
• Start with simple domain events before adopting full event sourcing; the complexity trade-off must be justified

Resources

• Domain-Driven Design by Eric Evans
• Martin Fowler on Event Sourcing: https://martinfowler.com/eaaDev/EventSourcing.html
• CQRS: https://martinfowler.com/bliki/CQRS.html

Keywords

event-driven architecture, domain events, event sourcing, CQRS, outbox pattern, message broker, Kafka, RabbitMQ, eventual consistency, idempotent consumers