10 hours ago
- Queues enable splitting a computation into scheduling and execution, using producers (put tasks) and consumers/workers (execute tasks).
- At-most-once delivery acknowledges messages before processing, risking message loss if the worker fails.
- At-least-once delivery acknowledges after processing, allowing multiple deliveries but preferred in practice for avoiding data loss.
- At-least-once systems benefit from eventually consistent data structures (e.g., CRDTs) rather than strong consistency, improving performance and partition tolerance.
- Practical queue features include single-worker delivery windows, best-effort duplicate avoidance, FIFO ordering, and auto-cleanup.
- Redis-based queue implementations can leverage independent Redis nodes to build a distributed queue with high performance and scalability.
- The author is designing a Redis-based queue system to provide these guarantees and plans to share progress soon.