A complete system design of a fault-tolerant distributed job scheduler built for scale. Covers PostgreSQL row locking with SKIP LOCKED, hash ring shard distribution, cron parsing, worker backpressure, and missed job recovery.

A full system design of a production rate limiter. Covers every major algorithm (token bucket, sliding window, leaky bucket, fixed window), their tradeoffs, how they break in a distributed system, how Redis fixes them, and how Stripe, Cloudflare, and API gateways actually deploy this in production.

Learn how to build production-ready Python background workers that scale under load. Covers worker pools, queue architecture, retry strategies, idempotency, and graceful shutdown.