What is API rate limiting? And how to implement it

API rate limiting is a crucial strategy for maintaining system stability and security by capping the number of requests a user or bot can make to an API within a certain timeframe. This practice prevents denial of service (DoS) attacks and other malicious activities by ensuring fair usage and protecting backend resources from being overwhelmed. Various methods, such as token buckets, leaky buckets, and sliding windows, offer different approaches to implementing rate limits, each with unique advantages depending on the scenario. Rate limiting is not only a security measure but also a cost-control tool, as it helps manage expenses related to increased infrastructure demand. Platforms like Zapier utilize API rate limiting to prevent disruptions from high traffic spikes and ensure smooth operation, offering strategies such as request queuing and throttling to handle excess requests. Effective rate limiting involves setting appropriate thresholds, using monitoring tools to analyze usage patterns, and clearly documenting these limits to avoid unexpected errors. Ultimately, smart API rate limiting is essential for maintaining system reliability and preventing outages, especially during traffic surges.