A professional .NET microservices architecture along with justifications. I'll also include additional considerations where necessary.
1. Authentication
Best Choice: OIDC (OpenID Connect)
Justification: OIDC is built on top of OAuth2 and provides identity verification along with authorization. It is the industry standard for securing APIs and supports SSO (Single Sign-On) across microservices. OAuth2 alone lacks an identity layer, while Basic Authentication is insecure and unsuitable for modern microservices.
👉 Additional Consideration: Use IdentityServer, Auth0, or Azure AD B2C as an OIDC provider.
2. API Gateway
Best Choice: YARP
Justification: YARP (Yet Another Reverse Proxy) is a high-performance, modern, and extensible API Gateway designed for .NET. It supports dynamic route updates, better integration with Kubernetes, and lower overhead compared to Ocelot.
👉 When to Use Ocelot?
Ocelot is a good choice for simpler scenarios but lacks performance optimization for large-scale systems.
3. Database Strategy
Best Choice: Per Service Database
Justification: Each microservice should have its own database to ensure loose coupling, scalability, and data ownership. A shared database contradicts the microservices principle and creates a single point of failure.
4. Database Provider
Best Choice: MS SQL & PostgreSQL
Justification:
- MS SQL – Best for enterprise-level systems with strong ACID compliance.
- PostgreSQL – Open-source, excellent for scalability and JSON support (can replace NoSQL in some cases).
- MongoDB – Only for services needing high flexibility, schema-less storage, or event sourcing.
👉 Recommendation: Allow multiple providers based on service needs.
5. ORM
Best Choice: Entity Framework Core (EF Core)
- Justification: EF Core provides ease of use, code-first approach, and multi-database support. For high-performance scenarios, Dapper can be used as a complement.
👉 Additional Consideration: Use Dapper for read-heavy microservices.
6. API Type
Best Choice: REST (Primary) & GraphQL (Selective)
Justification:
- REST – Standard, well-supported, and easier for public APIs.
- GraphQL – Useful for complex queries and reducing over-fetching in micr oservices.
👉 Recommendation: Use GraphQL selectively for services requiring flexible data fetching.
7. API Documentation
Best Choice: OpenAPI (Swagger)
Justification: OpenAPI is widely adopted, automatically generated, and integrates well with .NET and API Gateway.
👉 Scalar is optional unless you're using GraphQL.
8. Coding Practices
Best Choice: Clean Architecture + MediatR + Repository Pattern
Justification:
- Clean Architecture – Ensures separation of concerns and testability.
- MediatR – Helps in CQRS, reducing dependencies, and improving maintainability.
- Reposi tory Pattern – Abstracts the database layer.
👉 Alternative: Consider Vertical Slice Architecture for better microservices modularity.
9. Testing Strategy
Best Choice:
Unit Testing → NUnit (more flexible than MSTest)
BDD → SpecFlow (for behavior-driven development)
Performance Testing → JMeter
10. Inter-Service Communication
Best Choice: Combination of REST, Message Queue, and gRPC
Justification:
- REST → For standard synchronous service calls.
- Message Queue (Kafka / RabbitMQ) → For event-driven architecture and decoupling services.
- gRPC → For high-performance inter-service communication, especially interna l services.
👉 Recommendation: Use Kafka for event-driven systems and RabbitMQ for task queues.
11. Scheduled Services
Best Choice: Hangfire + MongoDB
Justification:
- Hangfire is great for background job processing.
- MongoDB s tores Hangfire jobs efficiently without requiring SQL.
12. Caching
Best Choice: Redis
Justification:
- Redis is fast, scalable, and supports distributed caching.
- Mong oDB caching is less efficient compared to Redis.
13. Logging
Best Choice: Serilog
Justification:
- Serilog is structured logging, supports Elasticsearch, and integrates well with .NET microservices.
- NLog an d log4net are alternatives but less popular for modern architectures.
👉 Recommendation: Use Serilog + Elastic Stack (ELK) or Seq for centralized logging.
14. Service Monitoring
Best Choice: OpenTelemetry + Jaeger + Basic Health Monitoring
Justification:
- OpenTelemetry – Standardized tracing and metrics collection.
- Jaeger – Best for distributed tracing.
- Basic Health Monitoring – Use .NET HealthChecks for simple readiness and liveness probes.
15. CI/CD
Best Choice: Docker & Kubernetes
Justification: Kubernetes allows auto-scaling, self-healing, and efficient microservice deployment. Docker ensures consistency across environments.
👉 Additional Consideration: Use Helm charts for managing Kubernetes deployments.
16. Retry Policy
Best Choice: Polly
Justification: Polly provides resilience for microservices with features like:
- Retry policy
- Circuit breaker
- Bulkhead isolation
- Timeo ut handling
👉 Recommendation: Implement Polly middleware in API Gateway and microservices.
17. Secrets Management
Why? Avoid hardcoding sensitive information (DB credentials, API keys).
Tools:
- Azure Key Vault (if using Azure)
- AWS Secrets Manager (if using AWS)
- Vau lt by HashiCorp (for self-hosted solutions)
Final Notes:
This architecture ensures scalability, resilience, and maintainability.
Adopt best practices like CQRS, Domain-Driven Design (DDD) for complex domains.
Security: Ensure API Gateway handles authentication & authorization centrally.
Observability: Implement structured logging & monitoring to diagnose issues efficiently.