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Deploy, monitor, and maintain LLMs in production — serving, observability, cost management, and continuous improvement
vllm serve meta-llama/Llama-4-Scout --tensor-parallel-size 2 --max-model-len 32768Features: PagedAttention (2x more requests), continuous batching, prefix caching, multi-LoRA.
Track for every request:
| Strategy | Savings |
|---|---|
| Smart routing | 40-70% |
| Prompt compression | 40-60% |
| Semantic caching | 30-50% |
| Batch processing | 20-40% |
User Feedback -> Collect Data -> Analyze -> Improve -> Deploy -> MonitorDesign a monitoring dashboard for an LLM customer support system. What metrics and alerts would you include?