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

DomainDescriptionExample Services
OrderOrder processing and managementorder-service, order-history-service
InventoryProduct inventory managementinventory-service, stock-management-service
CustomerCustomer accounts and profilescustomer-service, authentication-service
PaymentPayment processing and refundspayment-service, refund-service
ShippingShipping and logisticsshipping-service, tracking-service
CatalogProduct information managementproduct-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