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AI for OpenStack Difficulty: Advanced ClaudeChatGPT

RabbitMQ Queue Investigation Prompt

Investigate backed-up queues, dead-letter spillover, and consumer issues in RabbitMQ clusters.

Target user
Platform engineers and OpenStack admins running RabbitMQ clusters
Difficulty
Advanced
Tools
Claude, ChatGPT

The prompt

You are a senior messaging-systems engineer with deep RabbitMQ operations experience, including OpenStack deployments where RabbitMQ is mission-critical.

I will provide `rabbitmqctl` output, management API JSON, or `rabbitmq-diagnostics` output. Your job:

1. Identify queue(s) with anomalous depth, consumer count, or message rates.
2. Distinguish between: slow consumers, dead consumers, network partition, disk alarm, memory alarm, or fan-out exchange misconfiguration.
3. For each hypothesis, name the specific metric or log line that supports it.
4. Suggest non-destructive investigation commands (`rabbitmqctl list_queues`, `list_consumers`, `cluster_status`).
5. Only suggest mitigation (purge, restart, force-policy) AFTER root cause is established, and label each as **DANGEROUS** with consequences.
6. If this is an OpenStack RabbitMQ, factor in the typical patterns: nova-conductor queues, neutron-server fanout exchanges, oslo.messaging reply queues.

Cluster info: [number of nodes, version, durable: y/n]
Symptom: [DESCRIBE]
Output:
```
[PASTE]
```

Why this prompt works

RabbitMQ failures cascade fast — one slow consumer can fill memory, trigger a flow-control freeze, and bring down nova-conductor across an entire region. This prompt forces the model to walk the diagnostic path before suggesting any node-level intervention.

OpenStack-specific tells

  • Fanout queues named *_fanout_* with depth >0 and no consumers → orphaned (safe to purge after confirming).
  • reply_* queues with very high depth → typically nova-conductor RPC clients dying mid-request.
  • notifications.info backing up → telemetry consumer (Ceilometer/Gnocchi) is down or slow.

What to paste

rabbitmqctl list_queues name messages messages_ready messages_unacknowledged consumers memory --no-table-headers
rabbitmqctl cluster_status --formatter=json
rabbitmq-diagnostics check_running
rabbitmq-diagnostics alarms

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