What are some effective API throttling strategies?

What are some effective API throttling strategies?

API throttling strategies help manage the load on your server by limiting the number of requests a user can make. Common strategies include rate limiting, token bucket, and leaky bucket algorithms.

Can you explain rate limiting in more detail?

Rate limiting restricts the number of requests a user can make in a given time frame. For example, you might allow 100 requests per hour. This helps prevent abuse and ensures fair usage.

What are the pros and cons of using token bucket vs leaky bucket?

Token bucket allows bursts of traffic while maintaining an average rate, making it flexible. Leaky bucket, on the other hand, processes requests at a constant rate, which can be more predictable but less flexible.

How can I implement these strategies in my application?

You can implement these strategies using middleware in your application. Many frameworks have built-in support for rate limiting, or you can use libraries that provide token bucket or leaky bucket implementations.