
.NET Backend Patterns
FreeStreamline your C#/.NET backend development with best practices.
Free · Opens the source repo
What .NET Backend Patterns does
The .NET Backend Patterns skill is designed to enhance your C# and .NET backend development experience by providing a comprehensive guide to modern best practices. It covers essential patterns for building production-grade APIs and enterprise applications, focusing on key areas such as asynchronous programming, dependency injection, and database access optimization. This skill is particularly valuable for developers looking to implement robust solutions using Entity Framework Core and Dapper, as well as those interested in improving application performance and maintainability.
With a structured approach to project architecture, the skill emphasizes Clean Architecture principles, ensuring that your codebase remains organized and scalable. You'll find detailed examples of how to set up your project structure, manage dependencies effectively, and utilize caching strategies with Redis. The skill also addresses common pitfalls in async programming, providing guidance on how to implement async/await patterns correctly to avoid deadlocks and improve responsiveness.
Additionally, the skill includes practical insights into configuration management using the IOptions pattern, helping you to manage application settings in a type-safe manner. Whether you're developing new .NET Web APIs, reviewing existing code for performance improvements, or designing service architectures, this skill equips you with the knowledge and tools necessary to build high-quality backend systems. Ideal for both seasoned developers and those new to .NET, it serves as a reliable reference for best practices and design patterns in backend development.
When to use it
Use this skill when developing new .NET Web APIs or MCP servers, or when reviewing C# code for quality and performance.
When not to use it
This skill may not be suitable for non-.NET projects or for developers looking for advanced features beyond standard patterns and practices.
What you can build with it
Developing a New API
Use this skill to guide the architecture and implementation of a new .NET Web API, ensuring adherence to best practices.
Code Review for Performance
Leverage this skill to review existing C# code, identify performance bottlenecks, and apply recommended patterns.
Designing Service Architectures
Utilize the skill to design service architectures that effectively implement dependency injection and caching strategies.
How to install .NET Backend Patterns
View source1. Install with the skills CLI
npx skills add wshobson/agents/dotnet-backend-patterns --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by wshobson.NET Backend Development Patterns
Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025).
When to Use This Skill
- Developing new .NET Web APIs or MCP servers
- Reviewing C# code for quality and performance
- Designing service architectures with dependency injection
- Implementing caching strategies with Redis
- Writing unit and integration tests
- Optimizing database access with EF Core or Dapper
- Configuring applications with IOptions pattern
- Handling errors and implementing resilience patterns
Core Concepts
1. Project Structure (Clean Architecture)
src/
├── Domain/ # Core business logic (no dependencies)
│ ├── Entities/
│ ├── Interfaces/
│ ├── Exceptions/
│ └── ValueObjects/
├── Application/ # Use cases, DTOs, validation
│ ├── Services/
│ ├── DTOs/
│ ├── Validators/
│ └── Interfaces/
├── Infrastructure/ # External implementations
│ ├── Data/ # EF Core, Dapper repositories
│ ├── Caching/ # Redis, Memory cache
│ ├── External/ # HTTP clients, third-party APIs
│ └── DependencyInjection/ # Service registration
└── Api/ # Entry point
├── Controllers/ # Or MinimalAPI endpoints
├── Middleware/
├── Filters/
└── Program.cs
2. Dependency Injection Patterns
// Service registration by lifetime
public static class ServiceCollectionExtensions
{
public static IServiceCollection AddApplicationServices(
this IServiceCollection services,
IConfiguration configuration)
{
// Scoped: One instance per HTTP request
services.AddScoped<IProductService, ProductService>();
services.AddScoped<IOrderService, OrderService>();
// Singleton: One instance for app lifetime
services.AddSingleton<ICacheService, RedisCacheService>();
services.AddSingleton<IConnectionMultiplexer>(_ =>
ConnectionMultiplexer.Connect(configuration["Redis:Connection"]!));
// Transient: New instance every time
services.AddTransient<IValidator<CreateOrderRequest>, CreateOrderValidator>();
// Options pattern for configuration
services.Configure<CatalogOptions>(configuration.GetSection("Catalog"));
services.Configure<RedisOptions>(configuration.GetSection("Redis"));
// Factory pattern for conditional creation
services.AddScoped<IPriceCalculator>(sp =>
{
var options = sp.GetRequiredService<IOptions<PricingOptions>>().Value;
return options.UseNewEngine
? sp.GetRequiredService<NewPriceCalculator>()
: sp.GetRequiredService<LegacyPriceCalculator>();
});
// Keyed services (.NET 8+)
services.AddKeyedScoped<IPaymentProcessor, StripeProcessor>("stripe");
services.AddKeyedScoped<IPaymentProcessor, PayPalProcessor>("paypal");
return services;
}
}
// Usage with keyed services
public class CheckoutService
{
public CheckoutService(
[FromKeyedServices("stripe")] IPaymentProcessor stripeProcessor)
{
_processor = stripeProcessor;
}
}
3. Async/Await Patterns
// ✅ CORRECT: Async all the way down
public async Task<Product> GetProductAsync(string id, CancellationToken ct = default)
{
return await _repository.GetByIdAsync(id, ct);
}
// ✅ CORRECT: Parallel execution with WhenAll
public async Task<(Stock, Price)> GetStockAndPriceAsync(
string productId,
CancellationToken ct = default)
{
var stockTask = _stockService.GetAsync(productId, ct);
var priceTask = _priceService.GetAsync(productId, ct);
await Task.WhenAll(stockTask, priceTask);
return (await stockTask, await priceTask);
}
// ✅ CORRECT: ConfigureAwait in libraries
public async Task<T> LibraryMethodAsync<T>(CancellationToken ct = default)
{
var result = await _httpClient.GetAsync(url, ct).ConfigureAwait(false);
return await result.Content.ReadFromJsonAsync<T>(ct).ConfigureAwait(false);
}
// ✅ CORRECT: ValueTask for hot paths with caching
public ValueTask<Product?> GetCachedProductAsync(string id)
{
if (_cache.TryGetValue(id, out Product? product))
return ValueTask.FromResult(product);
return new ValueTask<Product?>(GetFromDatabaseAsync(id));
}
// ❌ WRONG: Blocking on async (deadlock risk)
var result = GetProductAsync(id).Result; // NEVER do this
var result2 = GetProductAsync(id).GetAwaiter().GetResult(); // Also bad
// ❌ WRONG: async void (except event handlers)
public async void ProcessOrder() { } // Exceptions are lost
// ❌ WRONG: Unnecessary Task.Run for already async code
await Task.Run(async () => await GetDataAsync()); // Wastes thread
4. Configuration with IOptions
// Configuration classes
public class CatalogOptions
{
public const string SectionName = "Catalog";
public int DefaultPageSize { get; set; } = 50;
public int MaxPageSize { get; set; } = 200;
public TimeSpan CacheDuration { get; set; } = TimeSpan.FromMinutes(15);
public bool EnableEnrichment { get; set; } = true;
}
public class RedisOptions
{
public const string SectionName = "Redis";
public string Connection { get; set; } = "localhost:6379";
public string KeyPrefix { get; set; } = "mcp:";
public int Database { get; set; } = 0;
}
// appsettings.json
{
"Catalog": {
"DefaultPageSize": 50,
"MaxPageSize": 200,
"CacheDuration": "00:15:00",
"EnableEnrichment": true
},
"Redis": {
"Connection": "localhost:6379",
"KeyPrefix": "mcp:",
"Database": 0
}
}
// Registration
services.Configure<CatalogOptions>(configuration.GetSection(CatalogOptions.SectionName));
services.Configure<RedisOptions>(configuration.GetSection(RedisOptions.SectionName));
// Usage with IOptions (singleton, read once at startup)
public class CatalogService
{
private readonly CatalogOptions _options;
public CatalogService(IOptions<CatalogOptions> options)
{
_options = options.Value;
}
}
// Usage with IOptionsSnapshot (scoped, re-reads on each request)
public class DynamicService
{
private readonly CatalogOptions _options;
public DynamicService(IOptionsSnapshot<CatalogOptions> options)
{
_options = options.Value; // Fresh value per request
}
}
// Usage with IOptionsMonitor (singleton, notified on changes)
public class MonitoredService
{
private CatalogOptions _options;
public MonitoredService(IOptionsMonitor<CatalogOptions> monitor)
{
_options = monitor.CurrentValue;
monitor.OnChange(newOptions => _options = newOptions);
}
}
5. Result Pattern (Avoiding Exceptions for Flow Control)
// Generic Result type
public class Result<T>
{
public bool IsSuccess { get; }
public T? Value { get; }
public string? Error { get; }
public string? ErrorCode { get; }
private Result(bool isSuccess, T? value, string? error, string? errorCode)
{
IsSuccess = isSuccess;
Value = value;
Error = error;
ErrorCode = errorCode;
}
public static Result<T> Success(T value) => new(true, value, null, null);
public static Result<T> Failure(string error, string? code = null) => new(false, default, error, code);
public Result<TNew> Map<TNew>(Func<T, TNew> mapper) =>
IsSuccess ? Result<TNew>.Success(mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode);
public async Task<Result<TNew>> MapAsync<TNew>(Func<T, Task<TNew>> mapper) =>
IsSuccess ? Result<TNew>.Success(await mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode);
}
// Usage in service
public async Task<Result<Order>> CreateOrderAsync(CreateOrderRequest request, CancellationToken ct)
{
// Validation
var validation = await _validator.ValidateAsync(request, ct);
if (!validation.IsValid)
return Result<Order>.Failure(
validation.Errors.First().ErrorMessage,
"VALIDATION_ERROR");
// Business rule check
var stock = await _stockService.CheckAsync(request.ProductId, request.Quantity, ct);
if (!stock.IsAvailable)
return Result<Order>.Failure(
$"Insufficient stock: {stock.Available} available, {request.Quantity} requested",
"INSUFFICIENT_STOCK");
// Create order
var order = await _repository.CreateAsync(request.ToEntity(), ct);
return Result<Order>.Success(order);
}
// Usage in controller/endpoint
app.MapPost("/orders", async (
CreateOrderRequest request,
IOrderService orderService,
CancellationToken ct) =>
{
var result = await orderService.CreateOrderAsync(request, ct);
return result.IsSuccess
? Results.Created($"/orders/{result.Value!.Id}", result.Value)
: Results.BadRequest(new { error = result.Error, code = result.ErrorCode });
});
Data Access Patterns
Entity Framework Core
// DbContext configuration
public class AppDbContext : DbContext
{
public DbSet<Product> Products => Set<Product>();
public DbSet<Order> Orders => Set<Order>();
protected override void OnModelCreating(ModelBuilder modelBuilder)
{
// Apply all configurations from assembly
modelBuilder.ApplyConfigurationsFromAssembly(typeof(AppDbContext).Assembly);
// Global query filters
modelBuilder.Entity<Product>().HasQueryFilter(p => !p.IsDeleted);
}
}
// Entity configuration
public class ProductConfiguration : IEntityTypeConfiguration<Product>
{
public void Configure(EntityTypeBuilder<Product> builder)
{
builder.ToTable("Products");
builder.HasKey(p => p.Id);
builder.Property(p => p.Id).HasMaxLength(40);
builder.Property(p => p.Name).HasMaxLength(200).IsRequired();
builder.Property(p => p.Price).HasPrecision(18, 2);
builder.HasIndex(p => p.Sku).IsUnique();
builder.HasIndex(p => new { p.CategoryId, p.Name });
builder.HasMany(p => p.OrderItems)
.WithOne(oi => oi.Product)
.HasForeignKey(oi => oi.ProductId);
}
}
// Repository with EF Core
public class ProductRepository : IProductRepository
{
private readonly AppDbContext _context;
public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
{
return await _context.Products
.AsNoTracking()
.FirstOrDefaultAsync(p => p.Id == id, ct);
}
public async Task<IReadOnlyList<Product>> SearchAsync(
ProductSearchCriteria criteria,
CancellationToken ct = default)
{
var query = _context.Products.AsNoTracking();
if (!string.IsNullOrWhiteSpace(criteria.SearchTerm))
query = query.Where(p => EF.Functions.Like(p.Name, $"%{criteria.SearchTerm}%"));
if (criteria.CategoryId.HasValue)
query = query.Where(p => p.CategoryId == criteria.CategoryId);
if (criteria.MinPrice.HasValue)
query = query.Where(p => p.Price >= criteria.MinPrice);
if (criteria.MaxPrice.HasValue)
query = query.Where(p => p.Price <= criteria.MaxPrice);
return await query
.OrderBy(p => p.Name)
.Skip((criteria.Page - 1) * criteria.PageSize)
.Take(criteria.PageSize)
.ToListAsync(ct);
}
}
Dapper for Performance
public class DapperProductRepository : IProductRepository
{
private readonly IDbConnection _connection;
public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
{
const string sql = """
SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt
FROM Products
WHERE Id = @Id AND IsDeleted = 0
""";
return await _connection.QueryFirstOrDefaultAsync<Product>(
new CommandDefinition(sql, new { Id = id }, cancellationToken: ct));
}
public async Task<IReadOnlyList<Product>> SearchAsync(
ProductSearchCriteria criteria,
CancellationToken ct = default)
{
var sql = new StringBuilder("""
SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt
FROM Products
WHERE IsDeleted = 0
""");
var parameters = new DynamicParameters();
if (!string.IsNullOrWhiteSpace(criteria.SearchTerm))
{
sql.Append(" AND Name LIKE @SearchTerm");
parameters.Add("SearchTerm", $"%{criteria.SearchTerm}%");
}
if (criteria.CategoryId.HasValue)
{
sql.Append(" AND CategoryId = @CategoryId");
parameters.Add("CategoryId", criteria.CategoryId);
}
if (criteria.MinPrice.HasValue)
{
sql.Append(" AND Price >= @MinPrice");
parameters.Add("MinPrice", criteria.MinPrice);
}
if (criteria.MaxPrice.HasValue)
{
sql.Append(" AND Price <= @MaxPrice");
parameters.Add("MaxPrice", criteria.MaxPrice);
}
sql.Append(" ORDER BY Name OFFSET @Offset ROWS FETCH NEXT @PageSize ROWS ONLY");
parameters.Add("Offset", (criteria.Page - 1) * criteria.PageSize);
parameters.Add("PageSize", criteria.PageSize);
var results = await _connection.QueryAsync<Product>(
new CommandDefinition(sql.ToString(), parameters, cancellationToken: ct));
return results.ToList();
}
// Multi-mapping for related data
public async Task<Order?> GetOrderWithItemsAsync(int orderId, CancellationToken ct = default)
{
const string sql = """
SELECT o.*, oi.*, p.*
FROM Orders o
LEFT JOIN OrderItems oi ON o.Id = oi.OrderId
LEFT JOIN Products p ON oi.ProductId = p.Id
WHERE o.Id = @OrderId
""";
var orderDictionary = new Dictionary<int, Order>();
await _connection.QueryAsync<Order, OrderItem, Product, Order>(
new CommandDefinition(sql, new { OrderId = orderId }, cancellationToken: ct),
(order, item, product) =>
{
if (!orderDictionary.TryGetValue(order.Id, out var existingOrder))
{
existingOrder = order;
existingOrder.Items = new List<OrderItem>();
orderDictionary.Add(order.Id, existingOrder);
}
if (item != null)
{
item.Product = product;
existingOrder.Items.Add(item);
}
return existingOrder;
},
splitOn: "Id,Id");
return orderDictionary.Values.FirstOrDefault();
}
}
Caching Patterns
Multi-Level Cache with Redis
public class CachedProductService : IProductService
{
private readonly IProductRepository _repository;
private readonly IMemoryCache _memoryCache;
private readonly IDistributedCache _distributedCache;
private readonly ILogger<CachedProductService> _logger;
private static readonly TimeSpan MemoryCacheDuration = TimeSpan.FromMinutes(1);
private static readonly TimeSpan DistributedCacheDuration = TimeSpan.FromMinutes(15);
public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
{
var cacheKey = $"product:{id}";
// L1: Memory cache (in-process, fastest)
if (_memoryCache.TryGetValue(cacheKey, out Product? cached))
{
_logger.LogDebug("L1 cache hit for {CacheKey}", cacheKey);
return cached;
}
// L2: Distributed cache (Redis)
var distributed = await _distributedCache.GetStringAsync(cacheKey, ct);
if (distributed != null)
{
_logger.LogDebug("L2 cache hit for {CacheKey}", cacheKey);
var product = JsonSerializer.Deserialize<Product>(distributed);
// Populate L1
_memoryCache.Set(cacheKey, product, MemoryCacheDuration);
return product;
}
// L3: Database
_logger.LogDebug("Cache miss for {CacheKey}, fetching from database", cacheKey);
var fromDb = await _repository.GetByIdAsync(id, ct);
if (fromDb != null)
{
var serialized = JsonSerializer.Serialize(fromDb);
// Populate both caches
await _distributedCache.SetStringAsync(
cacheKey,
serialized,
new DistributedCacheEntryOptions
{
AbsoluteExpirationRelativeToNow = DistributedCacheDuration
},
ct);
_memoryCache.Set(cacheKey, fromDb, MemoryCacheDuration);
}
return fromDb;
}
public async Task InvalidateAsync(string id, CancellationToken ct = default)
{
var cacheKey = $"product:{id}";
_memoryCache.Remove(cacheKey);
await _distributedCache.RemoveAsync(cacheKey, ct);
_logger.LogInformation("Invalidated cache for {CacheKey}", cacheKey);
}
}
// Stale-while-revalidate pattern
public class StaleWhileRevalidateCache<T>
{
private readonly IDistributedCache _cache;
private readonly TimeSpan _freshDuration;
private readonly TimeSpan _staleDuration;
public async Task<T?> GetOrCreateAsync(
string key,
Func<CancellationToken, Task<T>> factory,
CancellationToken ct = default)
{
var cached = await _cache.GetStringAsync(key, ct);
if (cached != null)
{
var entry = JsonSerializer.Deserialize<CacheEntry<T>>(cached)!;
if (entry.IsStale && !entry.IsExpired)
{
// Return stale data immediately, refresh in background
_ = Task.Run(async () =>
{
var fresh = await factory(CancellationToken.None);
await SetAsync(key, fresh, CancellationToken.None);
});
}
if (!entry.IsExpired)
return entry.Value;
}
// Cache miss or expired
var value = await factory(ct);
await SetAsync(key, value, ct);
return value;
}
private record CacheEntry<TValue>(TValue Value, DateTime CreatedAt)
{
public bool IsStale => DateTime.UtcNow - CreatedAt > _freshDuration;
public bool IsExpired => DateTime.UtcNow - CreatedAt > _staleDuration;
}
}
Testing Patterns
Unit Tests with xUnit and Moq
public class OrderServiceTests
{
private readonly Mock<IOrderRepository> _mockRepository;
private readonly Mock<IStockService> _mockStockService;
private readonly Mock<IValidator<CreateOrderRequest>> _mockValidator;
private readonly OrderService _sut; // System Under Test
public OrderServiceTests()
{
_mockRepository = new Mock<IOrderRepository>();
_mockStockService = new Mock<IStockService>();
_mockValidator = new Mock<IValidator<CreateOrderRequest>>();
// Default: validation passes
_mockValidator
.Setup(v => v.ValidateAsync(It.IsAny<CreateOrderRequest>(), It.IsAny<CancellationToken>()))
.ReturnsAsync(new ValidationResult());
_sut = new OrderService(
_mockRepository.Object,
_mockStockService.Object,
_mockValidator.Object);
}
[Fact]
public async Task CreateOrderAsync_WithValidRequest_ReturnsSuccess()
{
// Arrange
var request = new CreateOrderRequest
{
ProductId = "PROD-001",
Quantity = 5,
CustomerOrderCode = "ORD-2024-001"
};
_mockStockService
.Setup(s => s.CheckAsync("PROD-001", 5, It.IsAny<CancellationToken>()))
.ReturnsAsync(new StockResult { IsAvailable = true, Available = 10 });
_mockRepository
.Setup(r => r.CreateAsync(It.IsAny<Order>(), It.IsAny<CancellationToken>()))
.ReturnsAsync(new Order { Id = 1, CustomerOrderCode = "ORD-2024-001" });
// Act
var result = await _sut.CreateOrderAsync(request);
// Assert
Assert.True(result.IsSuccess);
Assert.NotNull(result.Value);
Assert.Equal(1, result.Value.Id);
_mockRepository.Verify(
r => r.CreateAsync(It.Is<Order>(o => o.CustomerOrderCode == "ORD-2024-001"),
It.IsAny<CancellationToken>()),
Times.Once);
}
[Fact]
public async Task CreateOrderAsync_WithInsufficientStock_ReturnsFailure()
{
// Arrange
var request = new CreateOrderRequest { ProductId = "PROD-001", Quantity = 100 };
_mockStockService
.Setup(s => s.CheckAsync(It.IsAny<string>(), It.IsAny<int>(), It.IsAny<CancellationToken>()))
.ReturnsAsync(new StockResult { IsAvailable = false, Available = 5 });
// Act
var result = await _sut.CreateOrderAsync(request);
// Assert
Assert.False(result.IsSuccess);
Assert.Equal("INSUFFICIENT_STOCK", result.ErrorCode);
Assert.Contains("5 available", result.Error);
_mockRepository.Verify(
r => r.CreateAsync(It.IsAny<Order>(), It.IsAny<CancellationToken>()),
Times.Never);
}
[Theory]
[InlineData(0)]
[InlineData(-1)]
[InlineData(-100)]
public async Task CreateOrderAsync_WithInvalidQuantity_ReturnsValidationError(int quantity)
{
// Arrange
var request = new CreateOrderRequest { ProductId = "PROD-001", Quantity = quantity };
_mockValidator
.Setup(v => v.ValidateAsync(request, It.IsAny<CancellationToken>()))
.ReturnsAsync(new ValidationResult(new[]
{
new ValidationFailure("Quantity", "Quantity must be greater than 0")
}));
// Act
var result = await _sut.CreateOrderAsync(request);
// Assert
Assert.False(result.IsSuccess);
Assert.Equal("VALIDATION_ERROR", result.ErrorCode);
}
}
Integration Tests with WebApplicationFactory
public class ProductsApiTests : IClassFixture<WebApplicationFactory<Program>>
{
private readonly WebApplicationFactory<Program> _factory;
private readonly HttpClient _client;
public ProductsApiTests(WebApplicationFactory<Program> factory)
{
_factory = factory.WithWebHostBuilder(builder =>
{
builder.ConfigureServices(services =>
{
// Replace real database with in-memory
services.RemoveAll<DbContextOptions<AppDbContext>>();
services.AddDbContext<AppDbContext>(options =>
options.UseInMemoryDatabase("TestDb"));
// Replace Redis with memory cache
services.RemoveAll<IDistributedCache>();
services.AddDistributedMemoryCache();
});
});
_client = _factory.CreateClient();
}
[Fact]
public async Task GetProduct_WithValidId_ReturnsProduct()
{
// Arrange
using var scope = _factory.Services.CreateScope();
var context = scope.ServiceProvider.GetRequiredService<AppDbContext>();
context.Products.Add(new Product
{
Id = "TEST-001",
Name = "Test Product",
Price = 99.99m
});
await context.SaveChangesAsync();
// Act
var response = await _client.GetAsync("/api/products/TEST-001");
// Assert
response.EnsureSuccessStatusCode();
var product = await response.Content.ReadFromJsonAsync<Product>();
Assert.Equal("Test Product", product!.Name);
}
[Fact]
public async Task GetProduct_WithInvalidId_Returns404()
{
// Act
var response = await _client.GetAsync("/api/products/NONEXISTENT");
// Assert
Assert.Equal(HttpStatusCode.NotFound, response.StatusCode);
}
}
Best Practices
DO
- Use async/await all the way through the call stack
- Inject dependencies through constructor injection
- Use IOptions<T> for typed configuration
- Return Result types instead of throwing exceptions for business logic
- Use CancellationToken in all async methods
- Prefer Dapper for read-heavy, performance-critical queries
- Use EF Core for complex domain models with change tracking
- Cache aggressively with proper invalidation strategies
- Write unit tests for business logic, integration tests for APIs
- Use record types for DTOs and immutable data
DON'T
- Don't block on async with
.Resultor.Wait() - Don't use async void except for event handlers
- Don't catch generic Exception without re-throwing or logging
- Don't hardcode configuration values
- Don't expose EF entities directly in APIs (use DTOs)
- Don't forget
AsNoTracking()for read-only queries - Don't ignore CancellationToken parameters
- Don't create
new HttpClient()manually (use IHttpClientFactory) - Don't mix sync and async code unnecessarily
- Don't skip validation at API boundaries
Common Pitfalls
- N+1 Queries: Use
.Include()or explicit joins - Memory Leaks: Dispose IDisposable resources, use
using - Deadlocks: Don't mix sync and async, use ConfigureAwait(false) in libraries
- Over-fetching: Select only needed columns, use projections
- Missing Indexes: Check query plans, add indexes for common filters
- Timeout Issues: Configure appropriate timeouts for HTTP clients
- Cache Stampede: Use distributed locks for cache population
Frequently asked questions about .NET Backend Patterns
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