Autoscaling Kubernetes Worker Nodes With Karpenter

Karpenter aims to enhance both the effectiveness and affordability of managing workloads within a Kubernetes cluster. The core mechanics of Karpenter involve:

  • Monitoring unscheduled pods identified by the Kubernetes scheduler.
  • Scrutinizing the scheduling constraints, including resource requests, node selectors, affinities, tolerations, and topology spread constraints, as stipulated by the pods.
  • Provisioning nodes that precisely align with the pods’ requirements.
  • Streamlining cluster resource usage by removing nodes once their services are no longer required.

In this article, I talk about how to set up and use Karpenter for managing worker nodes in EKS.

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