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Authors: Marcin Wielgus, Joseph Burnett
2021-10-14

tldr - powered by Generative AI

An overview of autoscaling features in Kubernetes, covering horizontal, vertical, and cluster autoscalers, and upcoming features like the new HPA v2 stable API and support for alternative recommenders in VPA.
  • SIG Auto Scaling is responsible for horizontal and vertical polynomial scaling, cluster proportional system component auto scaling, and cluster autoscaler.
  • Horizontal Pod Autoscaler (HPA) scales in and out based on pre-defined metrics, while Vertical Pod Autoscaler (VPA) adjusts resources for workloads that don't necessarily scale horizontally.
  • Cluster autoscaler adjusts the number of nodes in any of the node pools that are configured.
  • The new HPA v2 stable API and support for alternative recommenders in VPA are upcoming features.
  • The autoscaling community can be accessed through Slack channels and weekly meetings.