I have seen smaller RoR, Django or lampstack apps being deployed on kubernetes exactly for reasons you mentioned. It is often pitch as a silver bullet for the future.

When Boss says "my idea is gonna be HUGE, so make this go fast", you can either spend 4 hours optimize some DB queries, or you can spend 40+ hours in a broadly scoped "conversion" project and have a new thing to add to your resume, and then spend 4 hours optimizing some DB queries...

One of the worst, bazooka in knife fight moment was when I interviewed for a company that was a medium scale direct to consumer streaming service that was built some custom resource to create one pod per user, their worst case scenario was where they would have around 1000 concurrent users.

I worked in a Python web-scraping team doing 3 million requests per day. Their solution to manage concurrency was also one pod per crawl, each with its own DB connection. It really struck me as crazy that everyone thought this was a good idea.

Strikes me as someone buying a massive SUV, to only use it to move one bag of groceries from the store every week. Some day in the future they might suddenly have a family of 6 to feed or have to haul a boat somewhere, so better get the big, overkill car.

I have personally experienced the other end of that problem, and it applies just as well to the k8s discussion. When all the kids are gone it's hard to admit you're not a soccer mom anymore and adjust to grandma mode. It can be a hard thing to trade in the Suburban for the Lincoln. Oh wait, Lincoln's aren't the cool thing so much anymore. That whole world changed while I was driving Suburbans.

This describes ~70% of adults in the southeastern US.

Heh, as someone who came very close to doing this (i.e. using k8s for a LAMP-stack type app at a startup), it's not just "shiny object syndrome" driving people to do this. Here's what our progression looked like:

1. Start with basic LAMP app in git that's manually deployed to an EC2 instance 2. Add in CI / CD + CodeDeploy 3. Create a staging environment 4. Dockerize local environment to keep dev environments in sync and onboard easier (really, this part's a gamechanger for a small company) 5. Ok so now we have Docker for local dev environments but stage and prod are managed separately. Can we just run our Docker containers in stage / production?

When I researched step 5, the options were basically k8s or Docker swarm but Docker swarm didn't seem battle tested (for prod). k8s was clearly a nightmare for a small team to maintain so we started looking into GKE / EKS -- but EKS was still in beta. Thus we punted. We've actually started using ECS for a newer project and I'd likely go that route for step 5 instead.

It tends to happen with startups I think because developers know the startup is likely not going to be around for long, or they will move on in a couple years anyway. So why not shoehorn whatever tech you want and have that skill in your resume? Of course now the startup will need to hire for that tech when you leave and the cycle continues...

> initial larger scope for a project

So they weren't trying to run a simple LAMP stack then.

Trying and doing can be very different things.