What are the best practices for rate limiting in APIs?
Rate limiting is crucial for managing API traffic. Best practices include setting limits based on user roles, using token buckets, and implementing exponential backoff.
Can you explain what a token bucket is?
A token bucket is a rate limiting algorithm that allows a certain number of requests over a period. Tokens are added to the bucket at a fixed rate, and each request consumes a token.
How do I implement exponential backoff?
Exponential backoff involves increasing the wait time between retries after each failed request. For example, you might wait 1 second after the first failure, 2 seconds after the second, and so on.
What tools can help with rate limiting?
Tools like Redis, NGINX, and API gateways like Kong or AWS API Gateway can help implement rate limiting effectively.
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