in the repo whereas the docs are https://allegroai.github.io/clearml-server-helm/

The repo seems to be

Beyond this have the UI running, have to start playing with it. Any suggestions for agents with k8s?

The helm chart installs a agentservice, how is that related if at all?

Awesome, thanks! Sorry missed it

One more help - is this something I can pass as task_overrides when creating a pipeline in add_step?

It’s a bit difficult to figure out the exact key. Will try this to see if it works

sure, will do AlertBlackbird30

Ok got it, thanks

This commit doesn’t really fix the issue - https://github.com/allegroai/clearml/commit/189a2b54dec071ec5d58835aef526bfaf5842155

AlertBlackbird30 - got it running. Few comments:

Nodeport is set by default despite being parameter in values.yml. For example:` webserver:
extraEnvs: []

service:
type: NodePort
port: 80 `2. Ingress was using 8080 for webserver but service was 80
3. Had to change path in ingress to “/*” instead of “/” to get it working for me

Ok, but doesn't work for me though. Can you or AgitatedDove14 help me in linking to relevant code so that I can see what's wrong?

Not really right? They deprecated a param which wasn’t removed in that commit i mentioned above

As the verify param was deprecated and now removed

IF there’s a post-task script, I can add a way to zip and upload pip cache etc to s3 - as in do any caching that I want without having first class support in clearml

Latest version was released 11 hours ago - https://github.com/jpadilla/pyjwt/releases/tag/2.2.0

Ok, sure.

AgitatedDove14 - thoughts on this? I remember that it was Draft before, but maybe because it was in a notebook vs now I am running a script?

As per - https://clear.ml/docs/latest/docs/references/sdk/task#connect

Would this be it? https://github.com/allegroai/clearml-agent/commit/6470b16b70165cdab0159ce5613521917e861d79

If you don’t mind, can you point me at the code where this happens?

is it known?

Would adding support for some sort of post task script help? Is something already there?

from here: https://github.com/allegroai/clearml/blob/5a9155b2039413280f13dfded1121470c4c4323d/examples/pipeline/pipeline_controller.py#L29

Which kind of access specifically? I handle permissions with IAM roles

So General would have created a General instead of Args?

From code perspective what changes?

On a related note - is it possible to get things like ${stage_data.artifacts.dataset.url} from within a task rather than passing params in add_step ?

barebones, can a step in a pipeline refer to a previous step by name and get it?

Thanks