Autonomous K8s Optimization Involves Both Compute and Storage Resources - Are You Doing Both?
One of the most powerful capabilities in K8s is the ability to autoscale resources to meet demands, scaling resources up during peak periods to ensure performance, and down again during lower periods to save money.
In this joint session, Lucidity and Kubex walk through what end-to-end K8s optimization looks like when you address both layers together. We cover:
- How to identify and eliminate compute waste across your clusters,
- How storage provisioning patterns create hidden costs and I/O constraints, and
- How to build a continuous optimization practice rather than a one-time cleanup.
Expect real examples, not slides full of theory. You’ll leave with a clear picture of where waste is hiding in your environment and a prioritized approach to addressing it.