Monitoring vLLM Inference Servers: A Quick and Easy Guide
Running vLLM in production without proper monitoring is like flying blind. You need visibility into request latency (P50, P95, P99), token throughput, GPU cache usage, and error rates to optimize performance and costs. This step-by-step guide walks you through building a complete observability stack using Prometheus and Grafana—the same tools used by companies like Uber, GitLab, and DigitalOcean. In 10 minutes, you'll have professional dashboards tracking 8 key metrics that matter for LLM inference performance. 💡 **Perfect for:** MLOps engineers, platform teams, and anyone running vLLM servers who wants production-ready monitoring without the complexity.

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