Machine learning driven AWS EC2 scheduler(fittedcloud.com) |
Machine learning driven AWS EC2 scheduler(fittedcloud.com) |
I know when my business does not need a particular environment up because it's my business... why would I need something to train that and than apply it, probably incorrectly, for me?
If you "know when my business does not need a particular environment up" then you are not a great customer, but other people might be.
If the product is for people who think adding unnecessary machine learning to simple tasks then sure, I'm not the audience but a condescending "you don't get it" is not really adding any clarity. Do you get it?
As much as I want to, I can't think of a purpose for this. Would be fun as a Kubernetes scheduler! :D
I could actually imagine situations where you have loads that also follow a schedule -- for example, if you have a ton of data and customers can schedule summary generation/analyses, a lot of them will tend to schedule them on the first of the month (that is, after the last month has ended).
In a case like that with a predictable load, you could boot up a bunch of instances a bit before the end of the last day of a month, then turn them off (to go back to normal loads) a bit into the second day of the new month.
Machine learning could help you pick out other peaks, like say, every Monday or Sunday.
If it's predictable, no need for machine learning at all.
> "Machine learning could help you pick out other peaks, like say, every Monday or Sunday."
Or human can script around it, like you just did.
That's an extremely broad brush for what I imagine is a much more specific technique or set of techniques.
But just saying "I don't need this and it probably wouldn't work even if I did" doesn't add any clarity either. :-)
What would add clarity is to ask the creator whether they see it being applicable in a particular use case, and you can give your specific use case, and give them the chance to say "yes, here's why" or "no, the product doesn't help you". Then future readers can see the use case and decide if they have similar needs to you and it would greatly help their purchasing decision.
Honestly, I wish more product discussions were focused like that. "Here's my situation" and the entrepreneur gave an honest "yes, here's why" or "no, the product doesn't help you". But it typically is just a commentator saying "I don't need this because I solved that problem myself" and the product person claiming that it works in every use case, so other readers don't get as much of a benefit from the discussion.