Create PodResourceAutoscaler
1. Target
2. Policy
3. Bounds

Pick the workload kind for this PodResourceAutoscaler target.

Use a Kubernetes label selector JSON object. For example: {"matchLabels":{"app":"my-app"}}.


Higher priority wins when multiple PRA objects match.

When enabled, controller ignores this PRA.

Documentation
PodResourceAutoscaler (PRA) continuously adjusts container requests and limits based on real pod usage.
You can target a specific workload (`deployment`, `daemonset`, `statefulset`) or select pods by label selector.
Policy settings define polling cadence, cooldown behavior, and utilization thresholds for CPU and memory requests or limits.
Bounds are optional guardrails for min/max values and step changes, helping prevent oversized or undersized updates.
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