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Many customers who are having big clusters (with large number of worker nodes) are always looking to optimize usage. They try out various scale down mechanism using KEDA / HPA.
The challenge faced by them is the clusters do not scale down even after they have sufficiently scaled down their microservices.
Moreover, there is no clear information as to why the cluster did not scale down.
What customers are looking for?
What are the right configurations and practices that would enable cluster scale down when apps are scaled down?
How to make it transparent to them when scale down happened or if it was prevented, what was the cause?
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Description
Many customers who are having big clusters (with large number of worker nodes) are always looking to optimize usage. They try out various scale down mechanism using KEDA / HPA.
The challenge faced by them is the clusters do not scale down even after they have sufficiently scaled down their microservices.
Moreover, there is no clear information as to why the cluster did not scale down.
What customers are looking for?
External link: https://github.tools.sap/kyma/backlog/issues/6116
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