> it’s in not having to pay a sysadmin so you can work on business problems. ... > that benefit only improves with scale. That's hard to derive from the same s

> it’s in not having to pay a sysadmin so you can work on business problems. ... > that benefit only improves with scale. That's hard to derive from the same statement - there's a point after which you can afford your own 8 member SRE team across 3 timezones. The cloud is incredibly attractive when you consider your scale problems as unknown (as a startup, the blitz scale day isn't a good time to go rack nodes yourself) & mostly as way to scale down the costs faster than physical infrastructure + associated human costs can. I've started looking at this as slightly different model - I'm no longer hiring a good operations manager for those 8 people, I'm hiring a decent programmer who can automate and have code handling deployment tasks instead of a human being taking orders (i.e rack an NVMe + reboot this). Honestly, even with your physical infrastructure, the trend is towards API based deployment models. My time at Zynga working on ZCloud, migrating off EC2 to on-prem, that is what I saw. The API based deployment model + reactions from machines (on failure), was worth building everywhere - now that applies to k8s.