David Morrison

David Morrison is a research scientist at Applied Computing Research Labs, an open-source research and development lab exploring scheduling and optimization problems in distributed computing. Previously, David was a staff engineer at Airbnb and at Yelp. David received his PhD in Computer Science from the University of Illinois, Urbana-Champaign in 2014. He is a prolific public speaker, having given presentations at KubeCon, LISA, MesosCon, and others.

Connect on Mastodon! https://hachyderm.io/@drmorr

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Sessions

11-10
15:10
30min
Karpenter and Cluster Autoscaler: A data-driven comparison
David Morrison, Michael McCune

If you’ve ever asked yourself the question, “I’m running Cluster Autoscaler right now, should I switch to Karpenter?”, then this talk is for you! These two projects are alternative solutions for autoscaling nodes in a Kubernetes cluster based on demand. While they share many similarities, there are some important differences as well–differences that can have a meaningful impact on the cost and reliability of your infrastructure. Join us for a data-driven review of the features and limitations of each option. Attendees will learn how workload configuration and cloud inventory affect the decision making process. By examining data from controlled experiments in simulated and live environments, the presenters will illuminate important areas of focus to evaluate when making your choice. At the end of this presentation, you will be equipped with data and tools needed to discover which autoscaler is best for your use case.

Flex Space