Big fan of cortex and i'm also on its boards often :-)

However, this works without a Kubernetes cluster, while Cortex does not. A managed kubernetes cluster on GCP e.g. costs $100/month[1].AWS, Azure is similar. For bare-metal, self managed solutions, if you can manage a cluster on your own like that then yes there is no need for BudgetML :-)

[1]: https://cloud.google.com/kubernetes-engine/pricing

> A managed kubernetes cluster on GCP e.g. costs $100/month

As the pricing link notes, it's worth pointing out your first cluster is free (aside from VM costs), and people interested in this type of project probably don't have any other clusters.

Nice! Thats a cool side project. Not sure how Google preemptible can scale though. They are not auto-scaling - so its a fixed cost

I swear I saw something in the terms about charges from sustained uptime, which is related. A popular resource would trigger that. It starts and stops on demand so that automation is what I am leery of. I will look into it again though, maybe I misinterpreted the fine print.

Ah no thats more for AWS spot instances I think. In Google, preemtible rates are constant, which makes it way more deterministic

OP here. Probably some form of container orchestration system like Kubernetes to manage the deployments + resources. There is also specialized ML tooling like Kubeflow to help out. Its still a developing landscape though.

We made BudgetML not to replace the above but to make it easy for scenarios where the need would be to just "get out there and deploy". Do you see value in that too?