Strategic DDD: The Art of Customer-Supplier Relationships
Welcome to our exploration of Domain-Driven Design's strategic patterns! In this post, we'll dive deep into the Customer-Supplier relationship pattern, a more formalised version of team interactions in bounded contexts.
Understanding Customer-Supplier
Think of this relationship like a professional service agreement between two departments. Unlike the pure upstream/downstream pattern, the supplier actively considers the customer's needs when planning changes. It's a relationship built on negotiation, clear expectations, and mutual understanding of requirements.
Detailed Analysis
The Customer-Supplier relationship formalises interactions through clear service agreements and negotiated interfaces. This pattern creates a more balanced dynamic where the supplier team often negotiates with the customers needs when planning changes. This collaborative approach helps ensure that both contexts evolve in a coordinated way while maintaining clear responsibilities and boundries.
Architectural Dimensions:
Coordination Model: Supports both orchestration and choreography, depending on the service agreement. Orchestration is common for complex workflows, while choreography works well for loosely coupled services.
Communication Model: Typically implements a mix of synchronous calls for immediate service requests and asynchronous patterns for background processes and notifications.
Consistency Model: Usually requires atomic consistency for critical operations, with eventual consistency acceptable for non-critical updates and notifications.
Perfect for:
Business-critical integrations
Formal service agreements
Well-defined domain boundaries
Core business services
Regulated interfaces
Contract-driven development
Professional services
NFR Alignment:
Reliability: ⭐⭐⭐⭐⭐
Availability: ⭐⭐⭐⭐⭐
Maintainability: ⭐⭐⭐⭐
Security: ⭐⭐⭐⭐
Real-world Examples:
A billing service (supplier) providing invoicing capabilities to multiple product lines (customers)
Report generation service (supplier) serving multiple business units with specific reporting needs
Data analytics platform (supplier) providing insights to various department systems (customers)
Identity management service (supplier) with negotiated SLAs for different internal products
Tradeoffs & Challenges
Architectural Challenges:
Complex service level agreements to maintain
Need for comprehensive API versioning strategies
Careful contract management and evolution
Integration testing complexity across boundaries
Managing multiple service versions simultaneously
Balance between standardisation and customisation
Performance optimisation for various usage patterns
Organisational Impacts:
Formal negotiation processes can slow down changes
Need for clear communication channels
Resource allocation between different customers
Service level agreement management overhead
Balancing competing customer priorities
Documentation and support requirements
Training and onboarding new customer teams
Best Practices
Contract Management
Clear service level agreements
Explicit API contracts
Version management strategy
Change notification process
Service Evolution
Planned deprecation cycles
Feature roadmap sharing
Customer feedback loops
Migration assistance
Performance Management
Regular capacity planning
Usage monitoring
Performance SLAs
Resource allocation
Relationship Management
Regular check-ins
Clear escalation paths
Feature request process
Customer success metrics
Architect's Alert 🚨
While Customer-Supplier relationships provide clear boundaries and expectations, they require significant investment in relationship management. The formality that makes them stable can also make them rigid. Consider carefully whether the overhead of formal agreements is justified by the stability needs of your context.
Implementation Strategies
Contract Design
Use interface-first design
Implement contract testing
Define SLA metrics
Create customer onboarding plans
Service Management
Monitor usage patterns
Track customer satisfaction
Implement feature flags
Provide self-service options
Evolution Strategy
Plan version lifecycles
Create migration tools
Maintain compatibility layers
Document breaking changes
Conclusion
The Customer-Supplier pattern brings formality and clarity to context relationships but requires careful management of both technical and organisational aspects. Success lies in finding the right balance between service standardisation and customer-specific needs.