ASP.NET Core apps often feel fast locally but slow in production due to environment settings, hosting limits, database and EF Core query issues, async blocking, logging overhead, cold starts, caching mistakes, and network latency. This guide shows the root causes plus code examples to diagnose and fix them.

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ASP.NET Core applications often run fast locally but slow in production due to environment differences, resource constraints, database query inefficiencies, async/await misuse, excessive logging, cold starts, improper caching, and network latency. The guide covers common bottlenecks like EF Core N+1 queries, thread pool starvation from blocking calls, logging overhead, in-memory cache limitations in scaled environments, and HttpClient socket exhaustion. It provides code examples showing problematic patterns versus optimized alternatives, emphasizing measurement-driven optimization: timing requests and database queries, checking thread pool health, reducing allocations, and implementing distributed caching before scaling infrastructure.

Why ASP.NET Core Feels Fast Locally but Slow in Production

Database Performance Is Usually the Root Cause

Async Blocking and Thread Pool Starvation

Caching Works Locally but Fails in Production

Network Latency and External Dependencies