Rate Limiting in C# — Don't Let Your API Get Hammered
The article discusses the importance of rate limiting for public APIs to prevent overload and ensure fair usage among users. It introduces the built-in rate limiting features available in .NET 7, which include various algorithms to manage request rates effectively. The article provides examples of how to implement these rate limiting strategies in ASP.NET Core applications.
- ▪Rate limiting protects infrastructure from overload and ensures legitimate users are not affected by excessive requests from others.
- ▪The article outlines four built-in rate limiting algorithms: Fixed Window, Sliding Window, Token Bucket, and Concurrency Limiter.
- ▪Implementing rate limiting in ASP.NET Core involves registering policies and applying them to API endpoints.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3472218) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Printo Tom Posted on May 27 Rate Limiting in C# — Don't Let Your API Get Hammered #aspnetcore #csharp #webdev #dotnet If you run a public API without rate limiting, it's only a matter of time before a runaway client, a misconfigured retry loop, or a well-intentioned load test brings your service to its knees. .NET 7 shipped a first-class rate-limiting API — no third-party middleware required. This post walks through every knob you can turn.
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