Scaling Made Simple: Implementing Autoscaling for Optimal Kubernetes Performance

Explore the intricacies of implementing autoscaling for optimal Kubernetes performance in this informative conference talk. Delve into day-two Kubernetes operations and the challenges of meeting fluctuating user demands. Learn about leveraging autoscaling functionality to automatically adjust cluster capacity based on utilization. Discover the complexities of effectively utilizing autoscalers like HPA and Cluster Autoscaler. Gain insights from seasoned Kubernetes expert Eli Birger as he shares best practices and valuable lessons learned. Cover topics including introduction to day-two operations, autoscaling concepts, scaling tools, scheduling, cluster autoscaling, HPA, pod requests and limits, pet vs. cattle approach, prioritization, and dashboard implementation. Enhance your understanding of Kubernetes autoscaling to improve application performance and resource management.

Introduction
Day Two Operations
Autoscaling
Scaling tools
My expectations
Scheduling
Cluster Autoscaling
HPA
Pod Requests
Limits
Pet vs Cattle
Prioritization
Dashboard