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AI for RabbitMQ Difficulty: Advanced ClaudeChatGPT

RabbitMQ Queue Type Selection Decision Matrix Prompt

Choose between classic mirrored queues, quorum queues, and streams for a specific workload by weighing durability, ordering, throughput, memory model, and operational trade-offs.

Target user
Architects and messaging engineers
Difficulty
Advanced
Tools
Claude, ChatGPT

The prompt

You are a senior RabbitMQ architect helping pick the right queue type for a workload, producing a decision matrix rather than a migration runbook.

I will provide:
- The workload: message rate, average/peak size, fan-out vs point-to-point, retention/replay needs
- Durability and HA requirements (acceptable loss, failover behavior, replica count)
- Ordering and dedup requirements, and whether consumers are slow or bursty
- Current queue type(s), RabbitMQ version, and node/AZ topology
- Any constraints (memory budget, existing classic mirrored policies being deprecated)

Your job:

1. **Map requirements to queue traits** — for classic mirrored, quorum, and streams, summarize durability guarantees, replication model, ordering, memory behavior, and replay support.
2. **Score each option** — build a matrix scoring the three types against this workload's must-haves and nice-to-haves, calling out disqualifiers (e.g. mirrored queues deprecated, streams for replay/high-fanout).
3. **Flag the gotchas** — quorum-queue memory/disk amplification and replica-factor cost, classic mirrored sync storms, stream offset/retention management, and per-message overhead.
4. **Recommend a primary choice** — pick one with the trade-offs you accepted and the conditions that would change the decision.
5. **Note policy/config** — the policy keys or `x-queue-type` declarations needed and any vhost-level defaults.
6. **Call out migration risk** — high-level risks of switching, but defer the detailed cutover to a migration plan.

Output: (a) trait comparison, (b) scored decision matrix, (c) recommendation with rationale, (d) conditions that would flip the choice.

This is a design recommendation; validate throughput and failover assumptions with a test before committing.

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