Compute · Kubernetes

Auto scaling that matches how your fleet actually behaves

Horizontal and vertical pod autoscaling, KEDA, cluster node autoscaling, events, recommendations, and scaling policies, cluster-scoped, with guided create flows for HPAs, VPAs, and KEDA ScaledObjects.

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Product walkthrough

See it in Cloud Admin

Screens from the live product, with a short note on when you would open each view.

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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Autoscaling · Overview

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.

  • KPI strip shows the numbers leadership cares about first
  • Charts link utilization to time so you spot spikes quickly
  • One click into deeper tabs when something looks off

Click the screenshot to open full size, zoom, and pan.

Active HPAs for keda and knative-serving.
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Horizontal Pod Autoscalers

Active HPAs for keda and knative-serving.

  • Same layout your operators see in production
  • Click to zoom in
  • Works alongside the rest of Cloud Admin

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Kubernetes autoscaling configuration view.
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K8s Auto Scaling

Kubernetes autoscaling configuration view.

  • Same layout your operators see in production
  • Click to zoom in
  • Works alongside the rest of Cloud Admin

Click the screenshot to open full size, zoom, and pan.

Operator workflows

From insight to safe scale

Whether you scale on CPU, memory, custom metrics, or external events, the same dashboard keeps workload owners and platform engineers aligned.

Create & govern

Define HPAs and VPAs with clear targets; wire KEDA to queues, metrics, or custom triggers, then review recommendations before they land in production.

Observe & correlate

Events and policies tie scaling decisions back to namespaces and workloads so audits and postmortems have a paper trail.

Capacity coupling

Cluster Autoscaler context sits beside pod autoscalers so node-level and workload-level scaling stay in sync.

Put scaling policy next to production reality

See Auto Scaling in Cloud Admin alongside workloads, metrics, and clusters in one console for enterprise Kubernetes.

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