7 ms·
Machine learning driven AWS EC2 scheduler
- spencera 8y agoWorst custom scrolling I've seen in a long time... Completely disabled the swipe-back feature on my MacBook.
- eric_h 8y agoThis is a rather low content/high marketing post, but the idea is interesting. I'd be more interested in a description of how it actually works, but I guess that's FittedCloud's secret sauce.
- prakashmanden 8y agoYou may find this blog interesting - https://www.fittedcloud.com/blog/machine-learning-cpu-utilization-for-ec2-scheduling-2/ https://www.fittedcloud.com/blog/machine-learning-cpu-utiliz...
- eric_h 8y agoSlightly more technical content but the description of how it works still doesn't go much beyond "machine learning techniques" That's an extremely broad brush for what I imagine is a much more specific technique or set of techniques.
- frostyj 8y agothis is bs
- prakashmanden 8y agoYou are entitled to your opinion I guess :)
- erulabs 8y agoThis seems interesting and sounds like a fun project - but... How many EC2 instances can just be turned off and on? If they can, they're probably part of an autoscaling group and already scale based on required capacity... Or they're workstations and can be turned off on a schedule (as mentioned in the article), ie: work hours only. As much as I want to, I can't think of a purpose for this. Would be fun as a Kubernetes scheduler! :D
- zitterbewegung 8y agoI don't know how to setup an autoscaler group on EC2. But if I used this wouldn't I not have to set one up? What if you don't have perfect information about your fleet and some instances are workstations?
- deleted 8y ago[deleted]
- sdrothrock 8y ago> How many EC2 instances can just be turned off and on? 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.
- alfanick 8y ago> 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. 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.
- weego 8y agoI don't understand how machine learning fits into literally just an option to power down a machine on a schedule? 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?
- philipodonnell 8y agoRegular reminder for readers: If a service exists that claims to meet a need but you do not have that need, it means you are not a customer for that service, not that the need does not exist. If the need is not large enough, or if not enough customers exist that have that need, then the service may fail as a business, but that does not mean that there was no need at all. 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.
- weego 8y agoDid you look at the product? It gives you schedule suggestions. So you have to know your schedule to pick the right one, which means you could use something that allows you to build a schedule. 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?
- prakashmanden 8y agoSoftware only provides one recommendation (confidence level of recommendation can be adjusted). Customers can confirm the recommendation by visually inspecting the context sensitive data graphs and let the software execute the schedule. In many large environments often customers really don't have much of an idea as to when their long running instances are actually being used. This feature provides great insight into instance utilization and possibility of significant cost savings by automating schedules. Agree it may not be relevant/appplicable in every environment.
- philipodonnell 8y ago
- qd2018 8y agoIs it possible to automate the schedules? It seems that the customers still need to select the schedules.
- prakashmanden 8y agoYes, it is. Once customers select the schedule, execution is automated.