Add autoscaled-workerpool demo using HPA and prometheus-adapter on Kind - #576
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This introduces a new demo (
demos/autoscaled-workerpool) demonstrating how to dynamically autoscale a WorkerPool using HPA +prometheus-adapteron a local Kind cluster.As mentioned in #198, this approach may be too slow for some use cases, but this is a good first milestone.
Plus, there are some limitations with scaling workerpools that still need to be addressed, for example:
Scale-down can strand paused actors. When a worker pod is removed, a local-snapshot paused actor keeps its node pin pointing at a node that may no longer have (free) worker pods.
Scale-up gives no locality guarantee: If there are multiple local-snapshot paused actors that can't resume because no worker pods are available on their node, upscaling will not unblock them: the added capacity can land anywhere, so the pool can grow without ever placing a worker where a stranded actor needs it.
Scale-down picks victims blind to actor assignment (can kill busy pods).
Tests pass: n/a
Appropriate changes to documentation are included in the PR