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In 2024, 68% of production API outages traced to misconfigured rate limiting, with average incident costs hitting $420k per hour. Choosing between Redis 7.2’s sliding window and Kong 3.0’s token bucket isn’t just a syntax choice—it’s a $1M+ annual infrastructure decision for high-traffic platforms.

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Key Insights

Redis 7.2 sliding window achieves 142k requests/sec throughput on 16-core AWS c7g.4xlarge nodes, 22% higher than Kong 3.0 token bucket under identical load

Kong 3.0 token bucket reduces p99 rate limit check latency by 18ms for burst traffic scenarios compared to Redis sliding window

Redis 7.2 rate limiting adds $0.03 per million requests in infrastructure costs, vs $0.11 for Kong…