The blog post explores how Kong Konnect Data Planes can utilize various autoscaling technologies on Amazon Elastic Kubernetes Services (EKS) 1.29 to efficiently manage API consumer demands while minimizing costs. The series is divided into four sections, focusing on Vertical Pod Autoscaler (VPA), Horizontal Pod Autoscaler (HPA), Cluster Autoscaler, and Karpenter, each offering distinct scaling benefits. Autoscaling is emphasized as a key feature of Kubernetes, providing the ability to automatically adjust resources in response to demand, either vertically by modifying hardware resources or horizontally by altering the number of nodes. The post details the setup of the Konnect Control Plane and Data Plane within an EKS cluster, demonstrating basic autoscaling use cases and explaining the role of VPA in adjusting Pod resources based on usage patterns. The article concludes by suggesting that while VPA offers broader trend insights for resource allocation, HPA could be more effective for rapid adjustments, with further exploration of HPA in subsequent posts.