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Kubernetes HPA & KEDA Autoscaling Architect

SREs and platform engineers need to configure event-driven and metric-based autoscaling for workloads with spiky, bursty, or queue-depth-driven traffic patterns. They struggle to tune HPA stabilization windows, KEDA scalers, and cooldown periods without triggering thrashing or under-provisioning under load.

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