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That's fair enough. We took a look at 'native' AWS, but there are a multitude of reasons why just dealing with AWS at all is a huge upfront time investment too if you don't hire somebody already skilled at this (complicated billing, just figuring out the product names for their various services, to name a few).

> The reality is that infrastructure work is just that complicated.

Yes, if you need the flexibility of running anything in any setup. What we really wanted was 'yeet a docker image with a web server in it + env vars at some magic beast that'll run it for me, slap an SSL-cert on it, and make sure it's always online'. We tried to replicate this with Kubernetes, so we got the full complexity of k8s unloaded upon us.

Heroku was what we really wanted, but it was always too expensive. Fly.io strikes a good balance here, the defaults are sane, it's still flexible enough for other services, and it's relatively cheap (spend is similar to DO K8s).

> You wouldn't try to have a team of front end engineers build your rest backend.

Well, yes and no. I wouldn't expect frontend engineers to know the ins and outs of everything backend, but to build on your metaphore a bit further: Setting up a basic Node backend with express serving static files shouldn't take multiple weeks, even for a frontend engineer. I feel like I was trying to do the infra equivalent of that, and it did take me forever.

> A quick glance at Fly, the pricing looks reasonable, but I'm guessing the build limits will still apply

The build limits could be an issue but really isn't for us right now. It's fairly easy to build locally though (in our case: in our GitLab CI/CD runners)



> Well, yes and no. I wouldn't expect frontend engineers to know the ins and outs of everything backend, but to build on your metaphore a bit further: Setting up a basic Node backend with express serving static files shouldn't take multiple weeks, even for a frontend engineer. I feel like I was trying to do the infra equivalent of that, and it did take me forever.

Yeah, that's just what infrastructure work is. Like I said, take that analogy, multiply the complexity by 4 (at least... really maybe multiply it by an order of magnitude).

Let me put it in perspective. I've been coding since I was 12, I taught myself C to build a MUD in middle school and high school. I had about a decade of full stack professional experience in Java, PHP, javascript and I'd done infrastructure work with EC2 and chef before. When I moved into DevOps it was overwhelming.

I've been in DevOps for 4 years. I built that equivalent DO infrastructure with Kubernetes just last week (and in a week). I started the week going "Fuck, I don't know what I'm doing." The first 3 days were just spent reading documentation. Day four was spent writing the terraform and kubernetes manifests - with a distinct feeling that none of this was going to work because I was missing several key pieces. Day 5 was spent putting a few of those pieces in place and debugging. I finally got it working late Friday night. I took on a ton of tech debt and made a bunch of compromises just to get something working. I'm not the least bit happy with what I have working and intend to totally rebuild it on AWS when it comes time to build production.

And that's with 4 solid years of doing infrastructure work full time under my belt. For someone with no infrastructure experience? I would estimate 1 - 3 months. There's just way too much to learn to think you could do it quickly and simply.

With an express backend, if you have javascript experience, you really don't have much to learn. You need to learn how http interacts with the backend, how the backend interacts with the database, and databases (SQL). That's it. Learning database is not nothing, there's a lot that comes with it, but that's still only 2 new tools really.

With infrastructure, you need to learn networking, databases, securty, container orchestration (how does high availability work? Scaling?), bash, linux, provisioning, terraform, Docker, Kubernetes manifests, monitoring, secrets handling, and more. And for a lot of these things, the solutions are far from simple or perfect. Even when done as well as can be with modern tech it feels shakey and cobbled together at the end. You're tying a dozen different tool types together to solve a dozen different problems and you have dozens of choices for each tool type.

Like I said, infrastructure is just like that. And it's important to have the right expectations going in to it.

If you can't tell, I've had this conversation with my peers who stayed in full stack a lot.




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