Have you ever worked in an environment where servers were just sitting around underutilized? What about in an environment where you requested resources and they weren’t available? These questions lead to not only resource optimization, but understanding cost and how to bring it down.

This session is all about how you can optimize resources for Kubernetes clusters utilizing various tools and platforms.

In the cloud, resources (compute, storage, etc.) are either constantly overprovisioned or underprovisioned. Organizations are either spending way too much money monthly in the cloud for resources that aren’t needed or “scaling up” strategies aren’t in place, which ends in production environments not performing the way engineers are expecting.

How can you plan for resource and cost optimization in the cloud?