Rate Limits and Caching: How FlipHero Delivers Lightning-Fast Pricing

You've probably noticed our comps load instantly while other services take 2-3 seconds. Behind that speed is a sophisticated system of rate limiting and Redis caching that handles millions of requests daily. Let me show you how we built a system that's both fast and reliable.

I've spent countless nights debugging cache misses and optimizing Redis clusters. The result? A system that delivers 85%+ cache hit rates while staying within API rate limits. Here's the complete technical breakdown of how FlipHero's caching and rate limiting actually works.

Highlights

• Read-through cache with TTL tiers by endpoint
• Exponential backoff and jitter under throttling
• Warmup on popular sets and parallel-specific queries
• Monitoring: hit rate, stale ratio, tail latency