If your .NET application hangs for 2 seconds every hour, you have a Large Object Heap (LOH) fragmentation issue. In 2026, if you’re allocating strings larger than 85,000 bytes in a high-traffic ₹1.2 Cr ($130,222) environment, the GC has to stop the world to sweep Generation 2. This isn't a "Slow Server" issue; it’s a Memory Allocation Pattern failure. You must implement ArrayPool or the latency will result in a ₹5 Lakh ($5,425) "Timeout" crisis for your API consumers. If you don't profile the heap, you're just guessing.

Check your .Result or .Wait() calls in a synchronous context. If you block an asynchronous task on a thread that is also needed to complete that task, you’ve built a Synchronization Context Deadlock. This is Thread-Starvation Friction. It’s the difference between a ₹3,500 ($38) code refactor and a ₹1.5 Cr ($162,778) "System Non-Responsive" emergency. At JIL, we see ₹50,000 ($542) of productivity die because a developer didn't understand that await doesn't always mean "Free Thread."

If your request latency is climbing, audit your Startup.cs (or Program.cs) dependency injection. If you’ve registered a Scoped Service as a Singleton, you’ve created a Captive Dependency. This is "Leaking State." It turns a ₹1.2 Cr ($130,222) enterprise node into an unstable island that crashes after 10,000 requests. This is a ₹0 "Configuration Sin" that results in a ₹25,000 ($271) per-hour troubleshooting leak. Clean the container or watch the memory spike.

Excessive use of System.Reflection at runtime kills performance. If your ₹1 Cr ($108,518) ERP is dynamically mapping objects without Source Generators, the JIT (Just-In-Time) Compiler is working 10x harder than necessary. This is "Metadata Bloat." It results in a ₹12 Lakh ($13,022) hardware-scaling bill that you didn't budget for. Move to AOT (Ahead-of-Time) Compilation or pre-compiled expressions to reclaim 30% of your CPU cycles.

Because of the N+1 Select problem. If your developer didn't use .Include() for related data, EF Core will lazy-load every child record in a separate database round-trip. This is "I/O Choke." It makes a ₹1.2 Cr ($130,222) database cluster perform like a ₹0 hobby project. You must use Eager Loading or projection-based queries. A ₹0 code fix prevents a ₹5 Lakh ($5,425) database upgrade that you don't actually need.

Only if you tune the Socket Max Connections. If you’re running .NET on Ubuntu 22.04 and haven't adjusted the ulimit, your server will drop connections at 1,024 users. This is OS-Level Throttling. It’s a 10-second fix in /etc/security/limits.conf that prevents a ₹15 Lakh ($16,277) "Scalability Failure" during a product launch. Don't blame the framework for a restricted kernel.