AI & Machine Learning

HPA-managed workloads: Why the obvious waste stays

Ali Nemati2 days ago22 sec read27 views0 listens

Teams running Kubernetes often overprovision resources for HPA-managed services, leading to inefficiencies that persist due to trust in predictable scaling behavior during traffic spikes. This waste continues because adjusting resource requests can alter how workloads scale, introducing risks that teams prefer to avoid despite the clear cost implications.

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Ali NematiWritten by Ali

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