How does rate limiting work in error handling?

How does rate limiting work in error handling?

Rate limiting is a technique used to control the amount of incoming requests to a server. It helps prevent overload and ensures fair usage.

What happens if a user exceeds the rate limit?

If a user exceeds the rate limit, they typically receive an error response, often a 429 Too Many Requests status, indicating they need to wait before making more requests.

Can rate limiting be implemented in APIs?

Yes, rate limiting is commonly implemented in APIs to manage traffic and protect resources. It can be done using various strategies like token buckets or fixed windows.

How can I handle errors related to rate limiting in my application?

You can handle rate limiting errors by implementing retry logic with exponential backoff, informing users about the limit, and providing clear error messages.