Async Inference Queue Design

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Design a high-volume async inference queue with priority lanes, auto-scaling workers, multiple delivery mechanisms, and comprehensive observability.

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Design an asynchronous inference queue for handling high-volume LLM requests.

## Volume Requirements
{{volume_requirements}}

## Latency SLAs
- P50: {{p50_latency}}s
- P99: {{p99_latency}}s

## Queue Technology
{{queue_technology}}

Design the system:

**Queue Architecture**
- Priority lanes
- Dead letter handling
- Retry policies

**Worker Design**
- Auto-scaling triggers
- Health checking
- Graceful shutdown

**Result Delivery**
- Webhook callbacks
- Polling endpoint
- WebSocket streaming

**Observability**
- Queue depth monitoring
- Latency tracking
- Error rate alerting

Provide:
- Architecture diagram
- Configuration schemas
- Implementation code
- Capacity planning formulas

Details

Category

Coding

Use Cases

Queue designAsync processingScale architecture

Works Best With

claude-sonnet-4-20250514gpt-4o
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