C# & .NET 8 Architect Mastery

Value Types vs Reference Types: Structs, Records, and Classes

1 Views Updated 5/4/2026

Structs, Records, and classes

In C#, how you define your data structures fundamentally changes how the computer handles them. Choosing a Class when you should have used a Struct can make your app 10x slower.

1. Classes (Reference Types)

Classes live on the Heap. When you pass a class to a function, you are passing a 'Pointer' to the data. This is great for large objects but adds "Allocation Overhead".

2. Structs (Value Types)

Structs live on the Stack (usually). When you pass a struct, you are copying the FULL data. **Architect Tip:** Only use structs for small, immutable data (like a Point, a Money value, or a Lat/Long). If a struct is larger than 16 bytes, copying it becomes more expensive than the heap allocation of a class.

3. Records (C# 9+)

Records are NOT a new memory type; they are Classes or Structs with extra features. They provide 'Value-based Equality' (so two different objects with the same data are considered equal). Use them for **DTOs (Data Transfer Objects)** to make your code cleaner and safer.

4. Interview Mastery

Q: "What is 'Boxing' and why is it a performance killer?"

Architect Answer: "Boxing is when a Value Type (Struct) is converted to an Object (Reference Type) so it can be stored on the heap. This happens, for example, if you put an `int` into an `ArrayList`. It triggers a heap allocation and a copy operation. In a tight loop, boxing can cause thousands of allocations per second, triggering the GC and slowing the app to a crawl. Use **Generics (`List`)** to prevent boxing."

C# & .NET 8 Architect Mastery
1. Memory Management & Performance
The CLR Deep Dive: Stack, Heap, and Garbage Collection (GC) Value Types vs Reference Types: Structs, Records, and Classes Span<T> and Memory<T>: Zero-copy high-performance code Benchmarking with Benchmark.DotNet: Measuring nano-seconds
2. Advanced Asynchronous Programming
Async/Await Internals: The State Machine and TaskContext ValueTask vs Task: Avoiding allocation in hot paths Task.WhenAll vs Parallel.ForEachAsync: Concurrency at scale Thread Safety & Multi-threading: Locks, Semaphores, and Interlocked
3. Modern C# 12+ Features
Primary Constructors & Collection Expressions Pattern Matching: Switch expressions and Recursive patterns Required Members & Init-Only properties Native AOT (Ahead of Time): Deployment for serverless/edge
4. Enterprise Design Patterns in .NET
Dependency Injection (DI): Lifetime management and Captive Dependencies The Options Pattern: Type-safe configuration management The Factory & Builder Patterns in Modern .NET Middleware Architecture: Building custom ASP.NET Core pipelines
5. Dynamic Programming & Reflection
Reflection & Attributes: Building custom frameworks Expression Trees: Building dynamic LINQ queries Source Generators: Compile-time code generation for speed Dynamic Types & ExpandoObject: When and when not to use them
6. Testing & Quality Architecture
Unit Testing Patterns: xUnit, Moq, and FluentAssertions Integration Testing with WebApplicationFactory Mutation Testing: Testing the quality of your tests TDD (Test Driven Development) for Senior Architects
7. Modern Web API Architectures
Minimal APIs vs Controllers: Choice of architecture Rate Limiting & Throttling in ASP.NET Core Versioning Strategies: URL vs Header vs Media Type Real-time Web with SignalR and WebSockets
8. FAANG .NET Architect Interview
Case Study: Designing a High-Throughput Payment Gateway in .NET Case Study: Solving Memory Leaks and CPU Spikes in Production