How do you handle request throttling and rate limiting in backend systems?
Request throttling and rate limiting are essential measures in backend systems to prevent abuse and ensure efficient resource allocation. Throttling involves limiting the number of requests a client can make within a specified time frame. Rate limiting, on the other hand, sets a maximum number of requests allowed per minute, hour, or day. These techniques help protect the system from overload, improve performance, and enhance security by mitigating excessive requests, such as DDoS attacks. To implement request throttling and rate limiting, several strategies can be employed, including token bucket algorithm, leaky bucket algorithm, and using dedicated tools like API management platforms. It is crucial to strike a balance between restricting abusive behavior while still allowing legitimate requests.