🩸 6 Invisible .NET Performance Killers

[Yaseer Arafat]

Even the cleanest .NET code can hide silent performance drains — the kind that only show up when your app is under real load.

Here’s a quick reference for developers and architects to spot and fix them before they bite.

1. LINQ​

Problem: Deferred execution & hidden allocations.

Fix: Push heavy queries to SQL, avoid LINQ‑to‑Objects for large datasets.

2. Async/Await​

Problem: Blocking calls & context switches.

Fix: Never block async, use ValueTask, profile the thread pool.

3. Logging​

Problem: Synchronous, verbose logs.

Fix: Structured async logging (e.g., Serilog), separate dev vs prod logging levels.

4. Dependency Injection​

Problem: Many scoped services slow startup.

Fix: Minimize scoped dependencies, modularize DI registrations.

5. JSON Serialization​

Problem: Large object graphs, GC pressure.

Fix: Use streaming serialization, paginate large collections.

6. Entity Framework​

Problem: N+1 queries via lazy loading.

Fix: Use .Include(), batch load, and analyze EF logs.

Key Takeaways​

• Trust abstractions, but verify their cost.
• Profile, measure, and optimize early.
• Guardrails: logging, queries, DI, serialization.

Pro Tip:

Pair this checklist with a profiler (e.g., dotTrace, PerfView) to see the hidden costs in action.

Full deep‑dive + visual cheat sheet here:

Invisible .NET Performance Killers — Framework Features That Fail at Scale

#dotnet #csharp #performance #cleanarchitecture #devtips #entityframework #asyncawait #logging #dependencyinjection #jsonserialization #linq

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