What are some effective rate-limiting strategies for APIs?
Effective rate-limiting strategies include token bucket, leaky bucket, and fixed window algorithms. Would you like to know more about any specific one?
Can you explain the token bucket algorithm?
Sure! The token bucket algorithm allows a certain number of requests to be processed in a given time frame, using tokens. When a request is made, a token is consumed. If no tokens are available, the request is denied.
What are the advantages of using the leaky bucket strategy?
The leaky bucket strategy smooths out bursts of traffic by processing requests at a constant rate, which helps prevent server overload.
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 based on your chosen strategy.
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