It's really impressive that it can handle these many container placements. But, honest question, what's the value of determining how fast can we schedule a mil

It's really impressive that it can handle these many container placements. But, honest question, what's the value of determining how fast can we schedule a million containers? This question is not just for Nomad but other cluster managers as well that have recently published similar benchmarks. I see the value of scheduling thousands to perhaps hundreds of thousands of containers across many nodes, but millions seem excessive. I think that is more valuable to measure what happens after you have 1 million containers running on your cluster. Such as: - What is the overhead keeping track of that many containers? - How do they impact the responsiveness of other API calls (list, delete)? - What happens when nodes go down and suddenly you lose a considerable amount of containers, can it recover quickly? - How does it impact the performance of running containers in the cluster? Also, there are other important factors to test for: - what about image size? How does it impact scheduling time when non-cached? - container density per node - number of nodes - what about scheduling other workloads that Nomad support, like VMs and runtimes?