https://artifacthub.io/packages/helm/allegroai/clearml and click on install button so you can see details about repo

now I’m leaving for today but let me know if it works. Have an nice day!

with this one you don’t need anymore to set the value I suggested before

I’m going to release a patch very soon

yes, it should be, will test this specific behaviour to be sure

but you are starting from major for that is really old and where naming was potentially unconsistent some time so, my suggestion is to backup EVERY pv before proceeding

In k8s there’s no services but just clearml-agent (k8sglue). you can set any definition you want for spawned pods in this section: https://github.com/allegroai/clearml-helm-charts/blob/503ab437adc5d4f9b7b1037e2af143d47da24048/charts/clearml-agent/values.yaml#L132

Ok, what I need is the exact version of the chart (not app) for clearml and clearml-agent

but again, they are infrastructural decisions that need to be taken before talking software

if you have problems with other images I suggest to run docker in emulation mode so you can run amd64 images

what kind of storageclass are you using on this one?

additionalConfigs: auth.conf: | auth { # Fixed users login credentials # No other user will be able to login fixed_users { enabled: true pass_hashed: false users: [ { username: "jane" password: "12345678" name: "Jane Doe" }, { username: "john" password: "12345678" name: "John Doe" }, ] } }

ok got it, are you able to access the system bypassing nginx with http://<Server Address>:8080 ?

so we also improved the chart, superhappy 😄

i will release a new chart version with no need to set a default storage class like I asked you to do today

yes, exactly, agent creates and manages task pod lifecycle

yes

so you installed chart version 3.10.1

and you are right

I should add some more instruction on Github page

clearml-agent 1.1.0 released

I’m just going to include these credentials in pod template too

our data engineer directly write code in pycharm and test it on the fly with brakpoints. when good we simply commit in git and we set a tag "prod ready"

clearml and agent are in the same namespace?

there’s anything specific you need?

especially if it’s evicted, it should be due increasing resource usage

PR incoming

got it

https://github.com/allegroai/trains-server-k8s/pull/13 i think you will like it 😄

you will probably need a metrics-server on your k8s