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Sep 8, 2026 · Operations

Resource Profiling at 10M QPS: From Coarse Averages to Fine-Grained Capacity Decisions

This article details how to evolve resource profiling from misleading averages to fine-grained, SLO-aware capacity models that incorporate instance heterogeneity, workload fingerprints, multi-resource bottlenecks, failure domains, and online calibration to drive trustworthy scheduling, autoscaling, release gating, and degradation decisions at ten-million-QPS scale.