Microservice Design Principles
Core design principles and best practices for creating well-structured microservices at FlowMart
At FlowMart, we follow a set of design principles that guide the creation of new microservices. These principles help ensure our services are maintainable, scalable, and aligned with our overall architectural vision.
1. Domain-Driven Design
Each microservice should be aligned with a specific business domain or subdomain. We follow Domain-Driven Design (DDD) principles to identify service boundaries:
Bounded Contexts
- Define clear bounded contexts for each service
- Maintain a separate ubiquitous language within each context
- Document domain models and context maps
Example Domains at FlowMart
Domain | Description | Example Services |
---|---|---|
Order | Order processing and management | order-service, order-history-service |
Inventory | Product inventory management | inventory-service, stock-management-service |
Customer | Customer accounts and profiles | customer-service, authentication-service |
Payment | Payment processing and refunds | payment-service, refund-service |
Shipping | Shipping and logistics | shipping-service, tracking-service |
Catalog | Product information management | product-service, search-service |
2. Single Responsibility
Each microservice should have a single responsibility and a clear purpose:
- Focus on one business capability: Services should do one thing well
- Right-sized services: Not too large (mini-monolith) or too small (nano-service)
- Cohesive functionality: Related functions should be grouped together
3. Data Ownership
Microservices should own their data and maintain data autonomy:
- Each service has its own database or data store
- No direct data sharing between services
- Data is exposed through well-defined APIs
- Services should be the single source of truth for their domain data
4. API Design
All FlowMart microservices must follow our API Management and Governance Strategy:
RESTful APIs
- Use consistent resource naming conventions
- Follow standard HTTP methods and status codes
- Implement proper error handling and validation
- Design for backward compatibility
Event-Driven Interfaces
- Define clear event schemas using AsyncAPI
- Document event ownership and responsibilities
- Follow event versioning standards
- Implement idempotent event consumers
5. Resilience and Fault Tolerance
Microservices must be designed to handle failures gracefully:
- Implement circuit breakers for downstream dependencies
- Use timeouts and retries with exponential backoff
- Design for graceful degradation of functionality
- Implement health checks and readiness probes
6. Observability
All services must expose monitoring and observability data:
- Structured logging (using our ELK stack)
- Metrics exposure (Prometheus format)
- Distributed tracing support (Jaeger)
- Health check endpoints
7. Security by Design
Security must be integrated into every service:
- Authentication using OAuth 2.0 / OpenID Connect
- Authorization using role-based access control
- TLS encryption for all communications
- Input validation and output encoding
- No sensitive data in logs or traces
8. Testability
Services should be designed with testing in mind:
- High unit test coverage (minimum 80%)
- Integration tests for all critical paths
- Contract tests for API interfaces
- Easy local testing setup
- Simulated dependencies for development
9. Configuration Management
Services should follow our configuration management approach:
- Environment-specific configuration via Kubernetes ConfigMaps
- Secrets management via HashiCorp Vault
- Feature flags for conditional functionality
- No hardcoded configuration values
10. Independence and Deployability
Services should be independently deployable:
- No deployment coupling with other services
- Infrastructure as Code for all resources
- Self-contained CI/CD pipelines
- Blue/green or canary deployment capabilities
Microservice Checklist
Use this checklist when designing a new service:
- Service aligns with a specific business domain
- Clear bounded context defined
- Service owns its data
- APIs follow company standards
- Event schemas are documented
- Resilience patterns implemented
- Observability instrumentation added
- Security controls integrated
- Comprehensive test suite created
- Configuration externalized
- Independent deployment pipeline configured
Next Steps
- Learn how to create a Node.js microservice
- Explore TypeScript service implementation
- Understand our Terraform infrastructure modules