Scheduling a large heterogeneous workload on a single cluster is both a very deep problem, and a very lucrative one for large companies to solve, in order to ma

Scheduling a large heterogeneous workload on a single cluster is both a very deep problem, and a very lucrative one for large companies to solve, in order to manage their capacity/utilization. Many Kubernetes deployments are for a homogeneous workload, or a heterogeneous workload is split up into many Kubernetes clusters. In these cases you are bringing in a whole lot of very complex infrastructure for bin-packing, isolating workloads from each other, etc. that you are not benefitting from.