What are the best practices for rate limiting?
An example of an AI chatbot conversation about rate limiting best practices.
What are the best practices for rate limiting in APIs?
The best practices for rate limiting include setting a clear limit on requests, using a token bucket algorithm, and providing feedback to users.
How do I implement rate limiting in my application?
You can implement rate limiting by using middleware in your application that tracks the number of requests from each user and enforces limits.
What tools can help with rate limiting?
Tools like Redis, Nginx, and API gateways such as Kong or AWS API Gateway can help manage rate limiting effectively.
What happens if a user exceeds the rate limit?
If a user exceeds the rate limit, you can return a 429 Too Many Requests status code and inform them of the limit.
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