What are the best practices for using Flask-Limiter?

What are the best practices for using Flask-Limiter?

When using Flask-Limiter, it's important to define clear rate limits for your endpoints, use appropriate storage backends, and handle exceptions gracefully.

Can you explain how to set up rate limits for different user roles?

Sure! You can set different rate limits by using decorators. For example, you can apply a stricter limit for guests and a more lenient one for authenticated users.

What storage backends are recommended for Flask-Limiter?

Commonly used storage backends include Redis and Memcached, as they provide fast access and are suitable for distributed applications.

How do I handle rate limit exceeded errors in my application?

You can catch the RateLimitExceeded exception and return a custom response, such as a 429 status code with a message indicating the limit has been reached.

Are there any performance considerations I should be aware of?

Yes, consider the overhead of storing and retrieving rate limit data. Optimize your storage choice and ensure your limits are reasonable to avoid unnecessary load.