Implementing Autoscaling for Optimal K8s Performance

‍

Session Overview

The day-two Kubernetes operations come with a constant struggle to ensure your application can meet the ever-changing user demands. Leveraging autoscaling functionality helps to adjust cluster capacity based on utilization automatically. However, effectively utilizing autoscalers (like HPA, KEDA, Cluster Autoscaler, and Karpenter) is easier said than done. Join the on-demand session from the Cloud Native Computing Foundation's (CNCF) KubeDay Israel where our seasoned K8s expert and CTO, Eli Birger, discusses the ins and outs of autoscaling, with some best practices and lessons he has learned along the way.