Metrics and dashboards for GPU inference
Prometheus and Grafana applied to LLM serving: metric types, the PromQL you will actually use (error ratio, p95 TTFT, tokens/s, saturation), recording rules, bucket design, GPU health with DCGM, the RED and USE methods, and dashboards that tell a story in thirty seconds.
Metrics are the cheapest and most reliable signal you have. A few hundred time series, scraped every 15 seconds, tell you whether users are happy, whether the fleet is healthy and whether you are about to run out of capacity. This lesson turns the general ideas from the observability overview into working Prometheus queries and Grafana dashboards for GPU inference.
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