I worked at a startup that did this and it was... totally fine? Like, we hired a guy who knew how to set Kubernetes up, he spent like a week or two setting it up, and then it was totally solid and the development experience was great. I was building some of the core product-specific logic and it only made my life easier.
Which really just goes to show that the "legible" aspects matter far less than the illegible aspects. It's easy to say "hey, this startup is using boring technology and deploying a monolith, great!" or "Kubernetes and a bunch of services, over-complicated!". It's hard to say "hey, this startup's codebase is awful and it's an unforced error slowing them down" vs "hey, these guys are taking some shortcuts but it makes sense in context".
But a mess built on "boring", simple tech is going to derail you far more than a needlessly complex but well-executed setup.
I remember reading an article years ago about how a company was running rings around its competition because they were releasing features faster and more effectively, due to their choice to use Lisp as their language. Of course a competitor who tried to pivot to Lisp was unlikely to have the same results - the specific language choice was not nearly as important as the fact that the founders were already experts in Lisp.
The point being, Kubernetes is easily the right choice for a start-up if you have a Kubernetes expert on the team (and the rest of the team is willing to put the time in learning the system and not just cargo-culting around it)
I worked at a startup that did this and it was... totally fine? Like, we hired a guy who knew how to set Kubernetes up, he spent like a week or two setting it up, and then it was totally solid and the development experience was great. I was building some of the core product-specific logic and it only made my life easier.
Which really just goes to show that the "legible" aspects matter far less than the illegible aspects. It's easy to say "hey, this startup is using boring technology and deploying a monolith, great!" or "Kubernetes and a bunch of services, over-complicated!". It's hard to say "hey, this startup's codebase is awful and it's an unforced error slowing them down" vs "hey, these guys are taking some shortcuts but it makes sense in context".
But a mess built on "boring", simple tech is going to derail you far more than a needlessly complex but well-executed setup.
I remember reading an article years ago about how a company was running rings around its competition because they were releasing features faster and more effectively, due to their choice to use Lisp as their language. Of course a competitor who tried to pivot to Lisp was unlikely to have the same results - the specific language choice was not nearly as important as the fact that the founders were already experts in Lisp.
The point being, Kubernetes is easily the right choice for a start-up if you have a Kubernetes expert on the team (and the rest of the team is willing to put the time in learning the system and not just cargo-culting around it)
Let me guess, VC funded start with plenty of cash to splash around and play with tech, beef up those resumes?
Kubernetes is pretty ok if you keep things simple. The project I worked on had kubernetes set up years ago and from there on it just worked.