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[AI-Suggested] Content update request from UUF signal: Rate limiting middleware in ASP.NET Core | Microsoft Learn

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Evaluación

Dificultad
2/5
Tiempo estimado
1-3 horas
Aptitud para principiantes
78/100
Tipo de issue
Documentación
Claridad
Bien especificado
Estado de actividad
Activo
Stack tecnológico
csharp
Área
documentation

Línea de trabajo

Lee aspnetcore/performance/rate-limit.md, especialmente los párrafos introductorios, la sección Use rate-limiting middleware y su primer ejemplo de código. Añade la explicación solicitada sobre los contadores por instancia y los límites para todo el clúster, con una referencia cruzada cerca del ejemplo. La tarea estará terminada cuando ambos puntos queden claros para los lectores del artículo.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

:watch: Not Triaged CAC

Documentation Update: Rate limiting middleware in ASP.NET Core | Microsoft Learn

Customer Feedback

Page: Rate limiting middleware in ASP.NET Core | Microsoft Learn
Source File: https://github.com/dotnet/AspNetCore.Docs/blob/live/aspnetcore/performance/rate-limit.md

Summary

Clarify that ASP.NET Core’s built-in rate limiting middleware maintains counters per app instance by default, so limits are not enforced cluster-wide in multi-instance/load-balanced deployments unless a shared/distributed counter is introduced.

Suggested Fixes

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  • In the introductory area of the article (immediately after the first paragraph that introduces Microsoft.AspNetCore.RateLimiting, and/or at the start of the Use rate-limiting middleware section), add a prominent note explaining the per-instance nature of the built-in middleware and the impact under load balancing. Include explicit wording about limits multiplying by instance count and point readers to external, centralized enforcement if they need cluster-wide throttling. For example:

    Important (multi-instance deployments): The built-in ASP.NET Core rate limiting middleware tracks limits within a single app instance/process. In a load-balanced or scaled-out deployment (multiple instances), each instance enforces its own counters, so the effective limit can be approximately N × configured limit (where N is the number of instances) if requests are distributed across instances. If you need cluster-wide limits, enforce throttling at a shared layer (for example, an API gateway/WAF/CDN) or implement a distributed/shared counter mechanism.

    Also add a short cross-reference near the first code sample in Use rate-limiting middleware noting that the example is per-instance and does not provide distributed enforcement.

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Lenguaje dominante
C#
Estrellas
13.1k
Forks
24.5k
Merge medio
2 d 15 h
PR fusionados (30 d)
159

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