Rate limiting and failover strategies are essential for building resilient distributed systems. In high-traffic scenarios, services can face challenges like traffic spikes and downstream service failures. This article explores practical approaches to protect your systems.
WHY RATE LIMITING IS IMPORTANT
When traffic surge occurs unexpectedly, your system may experience cascading failures, resource exhaustion, and degraded user experience. Rate limiting acts as a first line of defense.
SLIDING WINDOW ALGORITHM
One popular approach is the sliding window algorithm. Instead of fixed windows, we use smaller time slices to create smoother traffic patterns.
TOKEN BUCKET
The token bucket allows burst traffic while maintaining an average rate. A bucket with fixed capacity gets tokens added at a constant rate, and each request consumes tokens.
CIRCUIT BREAKER
The circuit breaker pattern prevents repeated calls to failing services. When failure rate exceeds threshold, the circuit opens and returns fallback responses.
BEST PRACTICES
Implement layered rate limiting across gateway, application, and service layers. Prioritize critical requests. Provide graceful error messages. Monitor and alert on limiting events.
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