Smarter Error Handling in C#: Try, Result and Fewer Tears

Exceptions are powerful for diagnostics but expensive in tight loops and high traffic code. This post explains what the runtime does when you throw, why that cost adds up, and when exceptions are the right tool. You will see small, runnable C# examples that model expected failures with Try, Result and tuples, plus a minimal API that returns HTTP results without throwing. We will also cover a micro tip for library authors to keep fast paths fast.

Make exceptions exceptional in C#

I once watched a perfectly healthy API faceplant during a load test. The culprit was not bad SQL or a rogue infinite loop. It was a single throw in a hot path. Like a plot twist in The Office, it looked harmless until Michael declared bankruptcy by yelling it out loud.

In this guide we will look at what really happens when you throw, why that hurts in tight loops or high traffic, and which modern C# patterns let you keep error handling without paying a premium.

This article will be available on June 8, 2026 at 8 AM Central Time US