Every frame below is a real Cloud Admin screen—paired with plain-language context so you know what you are looking at and why it matters operationally.
In Autoscaling, the Overview view answers one operational question at a time—autoscaling overview with hpa, vpa, keda, and ca cards. Part of autoscaling policies; use it when you need evidence before changing limits, scaling, or opening a ticket.
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Active HPAs for keda and knative-serving. Real Cloud Admin UI for autoscaling policies—what operators see daily and what to do next.
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Kubernetes autoscaling configuration view. Real Cloud Admin UI for autoscaling policies—what operators see daily and what to do next.
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Whether you scale on CPU, memory, custom metrics, or external events, the same dashboard keeps workload owners and platform engineers aligned.
Define HPAs and VPAs with clear targets; wire KEDA to queues, metrics, or custom triggers—then review recommendations before they land in production.
Events and policies tie scaling decisions back to namespaces and workloads so audits and postmortems have a paper trail.
Cluster Autoscaler context sits beside pod autoscalers so node-level and workload-level scaling stay in sync.
See Auto Scaling in Cloud Admin alongside workloads, metrics, and clusters—one control plane for enterprise Kubernetes.
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