The nice thing about a centralized scheduler is the code for scheduling only needs to run in one place. If each node 'bids' on the workload, you need to run sc

The nice thing about a centralized scheduler is the code for scheduling only needs to run in one place. If each node 'bids' on the workload, you need to run scheduling fit on every node for every application. You also need to work out a way to decide who wins the bid. Every time you want to change your scheduling logic, guess what? Gotta update all the nodes. The k8s scheduler is battle-tested. Across all the different environments and CI pipelines, it has scheduled billions, if not trillions, of pods at this point. If you have a better way of scheduling workloads across nodes, I advise you to make it work for kubernetes and sell it as an enterprise scheduler, and you'll make tons of money. Even if it's not better for the general use case, and just better for some edge (pun intended) use case, it would do quite well. IMO, all roads lead to k8s. You're just eventually going to have to solve the same set of problems.