What are the best practices for implementing rate limiting in APIs?
An example of an AI chatbot conversation about rate limiting best practices in APIs.
What are the best practices for implementing rate limiting in APIs?
Best practices for rate limiting include defining clear limits, using appropriate algorithms, and providing informative error messages.
Can you explain the different algorithms used for rate limiting?
Sure! Common algorithms include Token Bucket, Leaky Bucket, Fixed Window, and Sliding Window. Each has its pros and cons.
How do I handle rate limit exceeded errors in my application?
You should return a 429 status code, include a Retry-After header, and inform users about the limit in your documentation.
What tools can help me implement rate limiting?
Tools like API Gateway, NGINX, and Redis can help you implement rate limiting effectively.
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