<ul><li>APIs have become essential in modern digital ecosystems, requiring scalable, fair, and resilient rate limiting strategies for dynamic workloads.</li><li>Traditional fixed-threshold rate limiters face challenges in balancing user demand and system capacity and often fall short in dynamic scenarios.</li><li>An alternative approach using AIMD (Additive Increase, Multiplicative Decrease) for adaptive rate limiting is explored, leveraging Redis as a backend for fast distributed state management.</li><li>Implementing an AIMD rate limiter in C# is detailed, highlighting the benefits such as adaptability to real-time conditions and fair resource allocation, while also acknowledging challenges like accurate overload detection and tuning complexity.</li></ul>

Supercharging API Rate Limiting with AIMD - A Deep Dive into Modern System Design

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