Screenshots from the live product. Each note explains what you are looking at and when you would open this screen.
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. This is the same interface your team uses in production.
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Kubernetes autoscaling configuration view. This is the same interface your team uses in production.
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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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