Kubernetes cost optimization fails without visibility and shared ownership. Learn how to expose cost per service, avoid chargeback pitfalls, and align engineering teams with efficient resource usage—without creating friction.

Before We Talk About Cost, Let’s Talk About Everything We’ve Ignored So Far

By now, the technical picture is clear.

We’ve seen how clusters waste capacity because requests are inflated. We’ve unpacked how requests and limits shape scheduling in ways most teams underestimate. We’ve looked at autoscaling and how it quietly depends on honest inputs. And we’ve gone deep into GPU workloads, where inefficiency turns into direct financial loss.

At this point, you might expect cost optimization to be straightforward.…