What are the best practices for rate limiting in APIs?
An example of an AI chatbot conversation about rate limiting best practices in APIs.
What are the best practices for rate limiting in APIs?
Best practices for rate limiting include using a token bucket algorithm, setting appropriate limits, and providing clear error messages.
Can you explain the token bucket algorithm?
Sure! The token bucket algorithm allows a certain number of requests to be processed at a time, controlled by tokens that are added at a fixed rate.
How do I implement rate limiting in my API?
You can implement rate limiting by using middleware in your API framework, such as Express.js, or by configuring your API gateway.
What happens if a user exceeds the rate limit?
If a user exceeds the rate limit, they should receive a 429 Too Many Requests response, indicating they need to wait before making more requests.
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