We have to do it in-premise.. Cloud providers are not allowed for the final implementation. Of course, now we use Cloud to test out our ideas.

this is the state of the cluster https://github.com/valeriano-manassero/mlops-k8s-infra

if you need a not automated way to create the cluster I suggest to take in consideration helm chart only.

In this case I apologize for confusion. If you are going for AWS autoscaler it's better to follow official way to go, the solution I proposed is for an onpremise cluster containing every componenet without autoscaler. sorry for

SuccessfulKoala55 yes, no autoscaler on that chart. Maybe I'm missing the point but the request was for an "on-premise" setup so I guessed no aws. If I missed the point everything I posted is not useful 😄

this is the chart with various group of agents configurable https://artifacthub.io/packages/helm/valeriano-manassero/clearml

sure, I'll post some questions once I wrap my mind around it..

Hi DeliciousBluewhale87 ,
As far as I know, JuicyFox94 ’s charts do not yet deal with dynamic scaling of ClearML Agents ( JuicyFox94 feel free to correct me 🙂 )
This is currently supported in the AWS Auto-Scaler (which is both a working implementation and an example template on how to accomplish such a auto-scaler, regardless of the platform used).
We do have plans to support this kind of scaling for K8s in the near future 🙂

Hi SuccessfulKoala55 , kkie..
1)Actually, now i am using AWS. I am trying to set up Clearml server in K8. However, clearml-agents will be just another ec2-instance/docker image.
2) For phase 2, I will try Clearml AWS AutoScaler Service.
3) At this point, I think I will have a crack at JuicyFox94 's solution as well.

nice.. this looks a bit friendly.. 🙂 .. Let me try it.. Thanks

Just to add on, I am using minikube now.

Hi DeliciousBluewhale87 , I'm already using an on-premise config (with GitOps paradigm) using a custom helm chart. maybe this is interesting for you

Our main goal, maybe I shld have stated prior. We are data scientists who need a mlops environment to track and also run our experiments..

Thanks JuicyFox94 .
Not really from devops background, Let me try to digest this.. 🙏

Hi DeliciousBluewhale87 .

Which cloud provider are you using? If AWS, you can use the https://allegro.ai/clearml/docs/docs/examples/services/aws_autoscaler/aws_autoscaler.html#clearml-aws-autoscaler-service .

Can this do the trick?

moreover if you are using minikube you can take a try on official helm chart https://github.com/allegroai/clearml-server-helm

today it's pretty busy for me but I can try to help if needed, pls put any question here if you have and I will try to answer when possible