C# Minimal APIs in .NET 9: High-Throughput Microservice Architecture
What You Will Master in This Tutorial
- Configure a streamlined web application using WebApplication.CreateBuilder().
- Implement endpoint filters for cross-cutting authentication and validation.
- Leverage TypedResults<T> for compile-time verified HTTP responses.
1. Building the Endpoint Pipeline
Minimal APIs discard traditional controller boilerplate, enabling concise route definition with direct lambda mapping and automatic model binding.
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen();
var app = builder.Build();
app.MapGet("/api/health", () => TypedResults.Ok(new { Status = "Healthy", Timestamp = DateTime.UtcNow }));
app.MapPost("/api/items", (CreateItemRequest request, IItemRepository repo) => {
var created = repo.Add(request);
return TypedResults.Created($"/api/items/{created.Id}", created);
});
app.Run();
Knowledge Check: Test Your Understanding
Frequently Asked Questions
Going deeper: Minimal APIs in practice
The endpoints in a first Minimal API demo live in Program.cs, but production services need structure around them. In practice, the teams that scale Minimal APIs successfully treat the route handlers as a thin shell: routes are grouped by feature, endpoint filters centralize cross-cutting authentication and validation, TypedResults keep every response contract compile-time verified, and repositories plus EF Core DbContexts arrive through the same dependency injection you would use in MVC. The framework removes controller boilerplate, not architecture β and because startup is fast and the memory footprint is small, a well-organized Minimal API grows from a single-file prototype into a high-throughput microservice without a rewrite. That continuity is the real payoff of the pattern: the prototype code you write on day one can remain the production code on day one hundred, provided the organization of routes, filters, and services keeps pace with the traffic.
Common mistakes
- Turning Program.cs into a junk drawer. Hundreds of inline handlers in one file become untestable within a month. Group routes by feature area and move business logic into injected services, keeping handlers as one-line adapters.
- Returning anonymous types from every endpoint. Anonymous payloads weaken your OpenAPI documentation and your unit tests. Prefer TypedResults<T> so success and error responses are verified by the compiler, as the tutorial's health and items endpoints demonstrate.
- Repeating validation inside every handler. Copy-pasted authentication and input checks drift apart over time. Endpoint filters exist precisely to run that cross-cutting logic in one place before the handler executes.
- Confusing model binding with validation. Automatic binding only shapes incoming data into your request type; it does not prove the values are sane. Malformed or malicious payloads still need explicit validation before they reach a repository.
Frequently asked questions
When should I still choose MVC controllers over Minimal APIs?
For very large APIs built around per-controller conventions, or teams already standardized on MVC patterns, controllers remain a reasonable fit. Minimal APIs win where their documented strengths matter most β reduced reflection overhead, faster startup time, and a lower memory footprint for focused services.
Do Minimal APIs support dependency injection like MVC does?
Yes, fully. Services β including an EF Core DbContext β are injected directly into route handler parameters through the standard container. Any claim that Minimal APIs lack dependency injection is simply wrong; it is a core part of the model.
How do I organize endpoints as the API grows?
Split mappings by resource area using route groups and per-feature extension methods, so Program.cs reads as a composition root: builder setup, service registration, then one mapping call per feature.