Domain Model & Boundaries Mapper
Map domain boundaries and ownership using Domain-Driven Design.
Domain Map Template
# Domain Map: E-Commerce Platform ## Bounded Contexts ### 1. Customer Management **Core Domain:** User accounts, profiles, preferences **Owner:** Customer Team **Ubiquitous Language:** - Customer: Registered user with account - Profile: Customer personal information - Preferences: User settings and choices **Entities:** - Customer (id, email, name) - Address (id, customer_id, street, city) - PaymentMethod (id, customer_id, type, token) **Bounded Context Diagram:**
┌─────────────────────────────┐ │ Customer Management │ │ ┌─────────┐ ┌──────────┐ │ │ │Customer │ │ Address │ │ │ └─────────┘ └──────────┘ │ │ ┌─────────────────────┐ │ │ │ Payment Method │ │ │ └─────────────────────┘ │ └─────────────────────────────┘
### 2. Order Management **Core Domain:** Order processing, fulfillment **Owner:** Orders Team **Ubiquitous Language:** - Order: Purchase request with line items - LineItem: Product quantity in order - Fulfillment: Physical delivery of order **Entities:** - Order (id, customer_id, status, total) - LineItem (id, order_id, product_id, quantity) - Shipment (id, order_id, tracking_number) ### 3. Product Catalog **Core Domain:** Product information, inventory **Owner:** Catalog Team **Ubiquitous Language:** - Product: Sellable item - SKU: Stock keeping unit - Inventory: Available stock **Entities:** - Product (id, name, price, description) - Inventory (sku, quantity, warehouse_id) ## Context Relationships
Customer Management ──────▶ Order Management (customer_id)
Product Catalog ──────▶ Order Management (product_id)
Order Management ──────▶ Fulfillment (order events)
## Anti-Corruption Layers
### Order Management → Customer Management
**Problem:** Orders need customer data but shouldn't depend on Customer domain model
**Solution:** Customer Adapter
```typescript
// Order domain's view of customer
interface CustomerForOrder {
id: string;
shippingAddress: Address;
billingAddress: Address;
}
// Adapter translates Customer domain to Order domain
class CustomerAdapter {
async getCustomerForOrder(customerId: string): Promise<CustomerForOrder> {
const customer = await customerService.getCustomer(customerId);
return {
id: customer.id,
shippingAddress: this.toOrderAddress(customer.defaultShippingAddress),
billingAddress: this.toOrderAddress(customer.defaultBillingAddress),
};
}
}
Dependency Map
┌──────────────┐
│ Customer │
└──────┬───────┘
│
▼
┌──────────────┐ ┌────────────┐
│ Orders │─────▶│ Products │
└──────┬───────┘ └────────────┘
│
▼
┌──────────────┐
│ Fulfillment │
└──────────────┘
Dependency Rules:
- •Customer has no dependencies
- •Orders depends on Customer (read) and Products (read)
- •Fulfillment depends on Orders (events)
Interface Contracts
Customer Management → Orders
// Public interface exposed by Customer domain
interface CustomerService {
getCustomer(id: string): Promise<Customer>;
getCustomerAddresses(id: string): Promise<Address[]>;
}
// Events published
interface CustomerUpdated {
customerId: string;
email: string;
name: string;
}
Product Catalog → Orders
interface ProductService {
getProduct(id: string): Promise<Product>;
checkAvailability(sku: string, quantity: number): Promise<boolean>;
reserveInventory(items: ReservationRequest[]): Promise<Reservation>;
}
Refactor Recommendations
Problem 1: Tight Coupling
Current: Orders directly queries Customer database Issue: Breaks bounded context, creates coupling Recommendation: Use Customer API instead
// ❌ Before: Direct database access const customer = await db.customers.findById(customerId); // ✅ After: API call through adapter const customer = await customerAdapter.getCustomerForOrder(customerId);
Problem 2: Shared Models
Current: Same User model used across contexts
Issue: Changes in one context affect others
Recommendation: Separate models per context
// Customer context
interface Customer {
id: string;
email: string;
profile: CustomerProfile;
preferences: CustomerPreferences;
}
// Order context (different model!)
interface OrderCustomer {
id: string;
shippingAddress: Address;
billingAddress: Address;
}
Problem 3: God Service
Current: OrderService handles orders, inventory, payments, shipping
Issue: Single service owns too much
Recommendation: Extract bounded contexts
- •OrderService: Order lifecycle
- •InventoryService: Stock management
- •PaymentService: Payment processing
- •FulfillmentService: Shipping
Strategic Design Patterns
Pattern 1: Shared Kernel
When: Two contexts must share some code Example: Common value objects (Money, Address)
// Shared kernel (minimal!)
class Money {
constructor(public amount: number, public currency: string) {}
}
Pattern 2: Customer/Supplier
When: One context depends on another Example: Orders (customer) depends on Products (supplier)
- •Supplier defines interface
- •Customer adapts to their needs
Pattern 3: Published Language
When: Many contexts need same data Example: Product events
interface ProductCreated {
productId: string;
name: string;
price: Money;
publishedAt: Date;
}
Migration Strategy
Phase 1: Identify Boundaries
- • Map existing code to domains
- • Identify coupling points
- • Document dependencies
Phase 2: Define Interfaces
- • Design APIs between contexts
- • Create adapter layers
- • Define event contracts
Phase 3: Decouple
- • Replace direct DB access with APIs
- • Introduce anti-corruption layers
- • Separate models per context
Phase 4: Extract Services (optional)
- • Move contexts to separate services
- • Implement API gateways
- • Set up event bus
Best Practices
- •Ubiquitous language: Same terms in code and domain
- •Bounded contexts: Clear boundaries, separate models
- •Context maps: Document relationships
- •Anti-corruption layers: Protect domain integrity
- •Event-driven: Loose coupling via events
- •Separate databases: Context owns its data
Output Checklist
- • Bounded contexts identified (3-7)
- • Core domain vs supporting domains
- • Ubiquitous language defined per context
- • Entity/aggregate definitions
- • Context relationship diagram
- • Dependency map
- • Interface contracts defined
- • Anti-corruption layers designed
- • Refactor recommendations
- • Migration strategy