TL;DR: We'll build a production-grade producer-consumer queue in Haskell using Redis as the message broker via the Hedis client library. By the end, you'll have a working system that can handle high-throughput job dispatch and consumption — the same pattern I used to process 1M+ payment refunds at Juspay. Why Redis for a Queue? When people think "message queue," they reach for Kafka or RabbitMQ. But Redis is often the right call when you need: Low latency — sub-millisecond enqueue/dequeue Simplicity — no broker clusters to manage Atomicity — LPUSH / BRPOP are atomic operations, safe under concurrency Visibility — you can inspect the queue state instantly with LLEN At Juspay, we routed payment refunds through a Redis-backed producer-consumer system. The queue absorbed burst traffic from merchant-triggered refund events and fed a pool of consumers that processed each refund, updated sub-statuses, and called downstream banking APIs — all without a single dropped message. Let's build that.…