[carlosrdrz]

I see what you mean, but I don't really agree. You can introduce that burden and complexity whenever you want. If you spend the start of your project working on this, you will be prepared for scaling (if you ever need it) but you could have used that time on actually working on the project and checking if you actually will need scale at some point.

I don't know about your projects, but I'm my case most (all) of them doesn't really need any kind of scale. Hell, this blog has a tiny 5$ DO machine and is still happily serving traffic from HN. I do understand not all projects are small blog instances, though :)

I guess in my case I prefer to just keep it simple and see how far I go with that setup than spending time working on making the perfectly-scalable project that is never serving more than 2 requests per second. If it ever grows, I will need to work to make it scale, sure, but on the other hand that is a good problem to have.

Anyway, I understand this is pretty subjective and depends on how you think about your projects and your requirements, so I do understand there will be people both in agreement and disagreement.

[Draiken]

I completely agree it's overkill to run your own cluster. That'd be good for a learning experience, but way too complex to use/maintain otherwise.

However I read somewhere you had experience with Kubernetes, right? That means there is no extra work to learn the technology.

Now let's take your blog as an example. I'm gonna guess there's an official Docker image for whatever software you use and you could create an image, deployment + service + ingress in less than an hour for it (pretty much every example out there is about how to setup a blog, heh).

If you have to do all that manually through SSH, I'd argue it takes pretty much the same time and the complexity is the same. You will simply change the tools/concepts but won't be caught by manual gotchas.