As in - a single workload that can't fit on a single physical machine? No I don't, although I certainly could if I needed to. Most of my workloads are either low-traffic WP sites or bespoke web-based business tools for clients with very bursty traffic.

Most of the value I get from k8s is the hands-off nature of it - I get slack notifications (prometheus+alertmanager) if anything is happening I need to address (e.g. workload down, node down, API not responding, etc). Otherwise I can safely ignore my cluster and know everything's good. Spinning up a new WP site takes 10m with backups, TLS, monitoring, etc built in.

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.