\n 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. \n\n 📡 Hacker News Top Stories Right Now Where the goblins came from (432 points) Noctua releases official 3D CAD models for its cooling fans (138 points) Zed 1.0 (1763 points) Alignment whack-a-mole: Finetuning activates recall of copyrighted books in LLMs (107 points) Craig Venter has died (206 points) \n\n 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 3.0 when…