What about application upgrades?
Are you ok with your application going down for each upgrade? With Kubernetes, it's very simple to configure a deployment so that downtime doesn't happen.
Are you ok with your application going down for each upgrade? With Kubernetes, it's very simple to configure a deployment so that downtime doesn't happen.
On the other hand, atomic upgrades by stopping the old service and then starting the new service on a Linux command line (/Gitlab runner) can be done in 10 seconds (depending on the service of course – dynamic languages/frameworks sometimes are disadvantaged here). I doubt many customers will notice 10 second downtimes.
K8s only makes sense at near Google-scale, where you have a team dedicated to managing that infrastructure layer (on top of the folks managing the rest of the infrastructure). For almost everyone else, it's damaging to use it and introduces so much risk. Either your team learns k8s inside out (so a big chunk of their work becomes about managing k8s) or they cross their fingers and trust the black box (and when it fails, panic).
The most effective teams I've worked on have been the ones where the software engineers understand each layer of the stack (even if they have specialist areas of focus). That's not possible at FAANG scale, which is why the k8s abstraction makes sense there.