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True! I love the idea of using K8s to orchestrate the running of VMs. With graceful shutdown and distributed storage, it makes it even more trivial to semi-live migrate VMs.

Are you aware of the limits? It must run as root and privileged?




In this scenario k8s is orchestrating the hypervisor, not VMs themselves. Hypervisor then orchestrates VMs + network (eg OVS) + other supporting functions (logs shipping, etc) on each individual “worker” node. VM scheduling/migration component needs to be completely decoupled from k8s apiserver (but itself can still run as normal k8s deployment) bc scaling kube api with unbound users is challenging. And yes, hypervisor will need to run privileged but you can limit it to worker nodes only




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