In this episode, Itiel has an insightful conversation with Dr. David Morrison, a research scientist and founder specializing in Kubernetes scheduling and autoscaling. David shares his journey from operations research to leading distributed systems efforts at tech giants like Yelp and Airbnb. Learn about the transition from Apache Mesos to Kubernetes at Yelp, including the role of their open-source API layer, Pasta.

Discover why David started his own venture, Applied Computing Research Labs, to help companies tackle the challenges of Kubernetes cost optimization and reliability. Get an inside look at SimCube, his fascinating project that simulates production Kubernetes clusters for debugging, troubleshooting, and capacity planning.

David also offers insights into the common pitfalls of low cluster utilization, the complexities of saving costs beyond low-hanging fruit, and the potential future of distributed systems.

#046 - Simulating, Scheduling, and Saving: Optimizing Kubernetes with David Morrison (Applied Research) 29:55 Share

Kubernetes for Humans

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#046 - Simulating, Scheduling, and Saving: Optimizing Kubernetes with David Morrison (Applied Research)