> It's amusing to see k8s used in such a different way and one that often uses a lot more hardware while driving up costs. To be fair, google runs its own data

> It's amusing to see k8s used in such a different way and one that often uses a lot more hardware while driving up costs. To be fair, google runs its own datacenters with teams doing research & optimisations on all levels of the stack: hardware and software and most importantly an amount of engineering resources converging to infinity. The rest are stuck with VMs that share network interfaces and have to monitor CPU steal, understand complex pricing models, etc. Engineering resources are scarce so most companies will over-provision just to be safe and because profiling the application and fixing that API call that takes too long is expensive, will spin-up another 50 pods.