Architecting high-traffic distributed backends. Rest controllers, database shards, rate limiting, and caching layouts.
An in-depth engineering blueprint for designing production-ready distributed rate limiters. Compares Token Bucket, Sliding Window Counter algorithms, Redis Lua script implementations, handling race conditions, and interview tradeoffs.
An expert-level system design playbook. Learn database scaling, load balancing configurations, caching patterns (Redis), message queues (Kafka), CDN routing, and microservices decoupling.