The dashboard visualizes key vLLM production metrics: E2E Request Latency (P99, P95, P90, Avg), Token Throughput (prompt/generation tokens/sec), Time Per Output Token Latency (various percentiles), and Scheduler State (running/waiting requests). The spike at 13:50 in both latency and throughput, along with a peak in running/waiting tasks, suggests a temporary load increase or resource contention, followed by recovery and stabilization—this is typical for systems under bursty traffic or resource constraints, as described in vLLM metrics documentation and Grafana dashboard examples.
These metrics help diagnose performance bottlenecks, monitor SLOs, and understand how request load impacts latency and throughput. Would you like a detailed explanation of how to interpret or act on these metrics?
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