Specifying CPU and memory needs for your application is often a fortune-telling exercise where time will almost certainly prove you wrong. Assigning too few resources endangers you with CPU starvation and Out Of Memory events; assigning too much hinders cluster utilization. Predicting the right values is challenging since workloads change and evolve. In this talk, we'll teach you how Vertical Pod Autoscaler can set resource assignments for you and how using it with Cluster Autoscaling and Scheduling can give you peace of mind.
Beata has been a Software Engineer at Google for 3 years. She has been working on Kubernetes autoscaling for the last year, contributing to Cluster Autoscaling, Horizontal Pod Autoscaling and Vertical Pod Autoscaling.
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