I’ve run a production kubernetes cluster that was hosting a DGraph cluster of 3 machines on its own, some ML workloads, and 4-5 products (each consisting of mul

I’ve run a production kubernetes cluster that was hosting a DGraph cluster of 3 machines on its own, some ML workloads, and 4-5 products (each consisting of multiple services) and that was more than a single machine would have been able to handle. Well _technically_, sure, we could have run a bunch of those products on a single machine, but there goes your durability and the memory overhead on some of them was quite Hugh, and properly fitting them onto a single machine would have required more optimisation and technical skills than the devs I was working with had or were inclined to do.