api(ratelimit): choosing between Token Bucket and Sliding Window algorithms in distributed Redis caches 🪣
When designing public read APIs (like /api/v1 rate-limits at 60 req/min), Sliding Window Log prevents boundary spike bursts while Redis Token Buckets handle bursty traffic with minimal memory overhead. What is your go-to rate-limiting strategy for public developer APIs?
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