I set it up with the following documentation: https://allegro.ai/clearml/docs/docs/deploying_clearml/clearml_server_kubernetes_helm.html

I have another question. Does the following apis in the picture are served by both of apiserver and webserver, or just one of them ?

Hi, SuccessfulKoala55 Maybe this is not a good question. In other words, docs introduce that ClearML Open Source supports orchestration, how can I found the relating codes? And what the role of clearml-agent in orchestration, a combination of kube-scheduler and kubelet?

Also - did you start with a fresh DB after changing the default company value?

No, I just restart the apiserver and webserver pod.

• delete documents in auth.user and backend.user - > see picture

I check it with the following result:

action:

auth.create_user

mongo:

see picture

apiserver logs:
`[2022-05-17 10:02:50,024] [8] [WARNING] [clearml.service_repo] Returned 400 for auth.create_user in 8ms, msg=Value combination already exists: email=

`

Sorry, my test environment crashed. I have to fix it first to reproduce the problem. 😓

Sorry, I can not understand what does nut from mean.

But you’re not using the webserver, you’re sending the cURL requests manually, aren’t you?

yes, I send them manully.

Thanks TimelyPenguin76 , I think I got it, but I have new questions when reading README of ClearML Agent. And I gave my questions in community just now, could you have a look at them? https://clearml.slack.com/archives/CTK20V944/p1626251661217200

no, I just suspend this issue.

Are you sending these requests manually?
COK. In any case, you should be looking at the

I send them with curl.

And no real scheduling in README exactly means that ClearML will not do scheduling for task which may provided in paid tier? In other words, Kubernetes will schedule the Pod for me. Is it right?

Hi BurlySeagull48 AgitatedDove14 , does upgrading clearml package and images to 1.0.4 really work? https://clearml.slack.com/archives/CTK20V944/p1628112607184300?thread_ts=1628108536.180100&cid=CTK20V944

Thanks

I set ClearML up with Kubernetes Helm.

In any case the user associated with the credentials you use is not assigned to the same cinoany ID you replaced

More in detail?

hi , @<1687645223846416384:profile|GracefulToad94> .
About Upgrade.

This version is deployed in the productive environment, so it is not easy to upgrade it.

About special user.

an ordinary user with the following information:
url:

http://{webServerHost}/api/v2.13/auth/create_user

createRequest:

type AuthCreateUserReq struct {
   Avatar     string 
   // brain, this value is also configured for apiserver's env CLEARML__APISERVER__DEFAULT_COMPANY(brain)
  ...

which collection?

Another question: can I mix steps with Task and Function?

In any case, the said credentials are valid for the company ID defined using 

apiserver.default_company

It really works for apiserver, but webserver does not have the default_company configuration.

Got it!

According to pipeline_from_functions.py , it is easy to understand that step1 returns data_frame and I can use it as input of step2. But I have no idea what string reference could be used when steps come from Task?

code

pipe.add_function_step(
    name='step_one',
    function=step_one,
    function_kwargs=dict(pickle_data_url='${pipeline.url}'),
    function_return=['data_frame'],
    cache_executed_step=True,
)
pipe.add_function_step(
    name='step_two',
    # parents=['st...

Do you use ClearML Open Source?

I am sure that I delete this user in auth.user and backend.user before call auth.create_user