dotnet-backend-patterns

To structure a .NET Web API project with clean architecture, organize your codebase into distinct layers for domain, application, infrastructure, and presentation. This separation ensures maintainable and scalable enterprise applications.

You should use Dapper instead of EF Core for .NET data access when you need high-performance, lightweight micro-ORM capabilities for raw SQL queries, whereas EF Core is better suited for complex object-relational mapping and rapid development.

To configure dependency injection lifetimes and the IOptions pattern in C#, register your services in the DI container using scoped, transient, or singleton lifetimes, and bind strongly-typed configuration classes via IOptions<T>.

The best way to implement multi-level caching with Redis in a .NET backend is to combine in-memory caching for frequently accessed, low-latency data with distributed Redis caching for shared state across multiple server instances.

To write unit and integration tests for a C# Web API, use the xUnit testing framework to validate individual components and ensure end-to-end API endpoints function correctly through integration tests.

You can use async/await and ValueTask effectively for scalable .NET backend development to reduce asynchronous state machine allocations. ValueTask is particularly useful when asynchronous operations frequently complete synchronously.