Rate Limiting / API Throttle (Go, Redis, Prometheus, Docker) overview

A high-performance API rate limiting and traffic management service that protects backend systems from abuse and ensures fair resource allocation across API consumers. Go powers the rate limiting proxy with sub-millisecond sliding window and token bucket algorithms implemented against Redis for distributed state. Prometheus collects rate limit hit ratios, quota utilization, and latency percentiles for capacity planning and abuse detection. Multiple rate limit policies support per-key, per-IP, per-tenant, and global limits with configurable burst allowances. Docker enables deployment as a sidecar or standalone gateway. Custom response headers communicate remaining quota and retry-after timing to API consumers. The tradeoff is Redis latency sensitivity for high-throughput APIs and the complexity of defining fair rate limit policies across diverse consumer patterns.