Designing a Message Queue System

Concepts: pyMessageQueue, pyDLQ, pyBackpressure, pyKafkaDesign

A staff-level DE interview question at any major tech company: design a reliable message queue. You will start with a deque-based in-memory implementation and then be pushed toward distributed design. Know both levels. The in-memory design showcases your algorithm skills. The distributed design showcases your system design maturity. The interviewer wants to see you handle DLQ, retry with backoff, and backpressure — the three things that make a queue production-grade. In-Memory Queue with DLQ and Retry Backoff Staff-Level: Kafka's Architectural Answer When the interviewer asks 'how would you scale this?', you pivot to distributed architecture. Kafka's design answers every limitation of the in-memory queue. Persistence: Kafka writes messages to disk (append-only log). This means messages sur