Production MLOps for LLMs

Deploy, monitor, and maintain LLMs in production — serving, observability, cost management, and continuous improvement

Model Serving

bash

vllm serve meta-llama/Llama-4-Scout     --tensor-parallel-size 2     --max-model-len 32768

Features: PagedAttention (2x more requests), continuous batching, prefix caching, multi-LoRA.

OpenAI/Anthropic: Quick start, cutting-edge

Together/Groq: Open models, fast

Self-hosted vLLM: Full control, data privacy

Track for every request:

Input/output tokens, latency (TTFT, TPOT), model used, prompt version, success/failure

User Feedback -> Collect Data -> Analyze -> Improve -> Deploy -> Monitor

Design a monitoring dashboard for an LLM customer support system. What metrics and alerts would you include?

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