Advanced Rate Limiting Algorithms with Redis

Simple rate limiting (e.g., 100 requests per minute) allows for dangerous bursting behavior. If a user sends all 100 requests in a single second, they can overwhelm the system before the basic counter resets.

Sliding Window Protocols

We implemented a highly efficient sliding window log utilizing sorted sets in Redis. This ensures request volume is smoothed out precisely over time, preventing sudden traffic spikes from degrading service for other API subscribers.

Token Buckets for Fairness

For our enterprise tiers, we utilize a Token Bucket algorithm. This allows for controlled bursts of traffic while maintaining a steady long-term rate limit, providing clients the flexibility to handle sudden data ingestions without hitting hard 429 Too Many Requests errors.