What is the impact of rate limiting on APIs?
An example of an AI chatbot conversation about the effects of rate limiting on API performance.
What is the impact of rate limiting on APIs?
Rate limiting controls the number of requests a user can make to an API in a given time frame, preventing abuse.
How does it affect user experience?
It can lead to slower response times or temporary access denial, which may frustrate users if not managed well.
Are there different strategies for implementing rate limiting?
Yes, common strategies include fixed window, sliding window, and token bucket algorithms, each with its pros and cons.
What happens if a user exceeds the rate limit?
Typically, the API will return a 429 Too Many Requests status code, indicating the user has exceeded their allowed limit.
Can rate limiting improve API security?
Absolutely! It helps mitigate DDoS attacks and abuse by limiting the number of requests from a single source.
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