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Comment by nullserver | Hacker News Reader

So 1/4 to 3/4 of a million per year in salary.

Plus disrupting all the developers.

So far every large scale implementation i have seen has cost the developers a year in productivity.

Hi. I run my production 7 figure ARR SaaS platform on google hosted k8s. I spend under 10 minutes a week on kubernetes. Basically give it an hour every few months. Otherwise it is just a super awesome super stable way for me to run a bunch of bin-packed docker images. I think it’s saved me tons of time and money over lambda or ECS.

It’s not F500 scale, but it’s over 100 CPU scale. Confident I have a ton of room to scale this.

Tbf you are an experienced operation savvy engineer. Your hourly is astronomically high so you’ve minimized your costs via experience.

Hey you worked with me and know I am neither experience nor savvy :)

If you end up making a blog post about how you do your deployments/monitoring and what it's enabled you to do I think it'd be a great contrast to the "kubernetes is complicated" sentiment on HN.

This sounds like fun. Kind of a “how to use Kubernetes simply without drowning”. Though would it just get downvoted for not following the hacker news meme train?

I have heard of people taking "years" to migrate to kube but only on HN and only on company who's timelines for "lets paint the walls of our buildings" stretch into the decades. But, even once you move, you get benefits that other systems don't have.

1. Off the shelf software (even from major vendors [0])

2. Hireable skill set: You can now find engineers who have used kubernetes. You can't find people who've already used your custom shell scripts.

3. Best practices for free: zero-downtime deploys can now be a real thing for you.

4. Build controllers/operators for your business concepts: rather than manually manage things make your software declaratively configured.

[0] - https://cloud.netapp.com/blog/cvo-blg-kubernetes-storage-an-...

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