Compute optimization in a cloud environment is a common challenge because of the need to balance

performance, cost, and resource availability. The growing use of GPUs for workloads, including

AI, is also increasing the complexity and importance of optimization given the relatively

high cost of GPU cloud computation. Jersey Griswinski is a senior director of software engineering and leads

FinOps at Capital One. Brent Segnor is a distinguished engineer at Capital One and is focused

on performance engineering and cloud cost optimization. Jersey and Brent joined the show with

Sean Falconer to talk about methods to measure compute efficiency, horizontal versus vertical scaling,

how to think about adopting new instance types, the effect of different languages on compute

efficiency, and much more.

This episode is hosted by Sean Falconer.

Check the show notes for more information on Sean's work and where to find him.

Thank you. on Sean's work and where to find him. Brandt, Jersey, welcome to the show.

Thanks for having us.

Thank you.

Yeah, awesome.

Thanks for being here.

I'm really excited to get into this topic.

I think there's going to be a lot of practical, actionable advice for the listeners

regards to cloud optimization.

Since there's two of you, just to help the audience out a little bit with whose voice is

whose, can we have you introduce yourself?

Who are you?

...