dotnet-backend-patterns

Clean architecture in .NET backends is structured by defining clear modular boundaries and layering. This pattern separates domain logic from infrastructure, ensuring scalable APIs and services remain maintainable and testable as the project grows.

Dependency injection and async flows in .NET are configured by applying modern DI containers and asynchronous patterns. This approach manages service lifecycles effectively, preventing blocking calls and ensuring resilient, non-blocking backend operations.

Data access in .NET is optimized using EF Core or Dapper by applying specific data access patterns. These patterns reduce query overhead, manage database connections efficiently, and integrate caching with Redis to minimize redundant database calls.

These .NET backend patterns apply directly to building scalable APIs and MCP servers. They provide the necessary modular boundaries, dependency injection, and observability criteria required for robust microservice or server implementations.

Redis is the specified caching strategy for .NET backend patterns within this collection. Implementing caching with Redis provides distributed cache capabilities, reducing database load and improving response times for high-traffic backend applications.

Backend patterns for testing and observability in .NET should be applied when starting a new project or refactoring for maintainability. They establish modular boundaries and dependency injection, enabling isolated unit tests and comprehensive application monitoring.