You Forgot Rate Limiting in ASP.NET Core (And It’ll Hurt You in Production)

Summary

The transcript focuses on implementing rate limiting in ASP.NET Core applications to prevent server overuse and manage application traffic. For single-server deployments, in-memory rate limiting provides effective protection, while using Yarp as a reverse proxy offers another implementation strategy. For scaled environments, Redis can serve as a back plane to store rate limiting information across multiple servers, enabling more robust traffic management.