That sounds about right FrothyDog40

Is there a way to accomplish this right now FrothyDog40 ? 🤔

yes, a lot of moving pieces here as we're trying to migrate to AWS and set up autoscaler and more 😅

I will! (once our infra guy comes back from holiday and updates the install, for some reason they setup server 1.1.1???)

Meanwhile wondering where I got a random worker from

That's probably in the newer ClearML server pages then, I'll have to wait still 😅

Can I query where the worker is running (IP)?

Aw you deleted your response fast CostlyOstrich36 xD

Indeed it does not appear in ps aux so I cannot simply kill it (or at least, find it).
I was wondering if it's maybe just a zombie in the server API or similar

Running a self-hosted server indeed. It's part of a code that simply adds or uploads an artifact 🤔

I wouldn't mind going the requests route if I could find the API end point from the SDK?

Ah, the API server /users.get_all , I see!

So some UI that shows the contents of users.get_all ?

Don't even need to specify json=... 😉 Thanks!

Sorry, not necessarily RBAC (although that is tempting 😉 ), but for now was just wondering if an average joe user has access to see the list of "registered users"?

Yeah that works fine 😄 I just fetch it once to map argparse users to their IDs for later filtering.

The Slack Monitoring example should be updated btw, as they now use slack_sdk instead of slack (in the import statements)

On it! Should I include the additional user filters described above?

So no direct page to see e.g. how many people have registered and/or if someone accidentally made two (or more) accounts, or somewhere to just delete users, etc

I can navigate through the projects, but selecting one task in one project, then navigating to another project and selecting a different task -> there is no suggestion to compare the tasks.

In the projects page if I show all - I just see the projects. If I search for a task of similar name, I get results, but I can't compare them via the UI.

The only way I managed so far was to create a pseudo-comparison between unrelated tasks in the same project, then remove one task from comparion, and u...

It is. Let me see what else I have set up for MinIO in configs, one moment

The api.files_server is set to the MinIO endpoint s3://ip:9000/clearml (both locally and remotely) The sdk.development.default_output_uri is set to the MinIO endpoint (both locally and remotely) When we call Task.init I do not set the output_uri at all I get the logger directly with task.get_logger()

No I don't this at all

The logs are on the bucket, yes.
The default file server is also set to s3://ip:9000/clearml

Is it currently broken? 🤔

Maybe. When the container spins, are there any identifiers regarding the task etc available? I create a folder on the bucket per python train.py so that the environment variables files doesn't get overwritten if two users execute almost-simultaneously

I'm not sure I follow, how would that solution look like?

I'm trying to decide if ClearML is a good use case for my team 🙂
Right now we're not looking for a complete overhaul into new tools, just some enhancements (specifically, model repository, data versioning).

We've been burnt by DVC and the likes before, so I'm trying to minimize the pain for my team before we set out to explore ClearML.

If everything is managed with a git repo, does this also mean PRs will have a messy metadata file attached to them?

I should maybe mention that the security regarding this is low, since this is all behind a private VPN server anyway, I'm mostly just interested in having the credentials used for backtracking purposes

I mean, I know I could connect_configuration({k: os.environ.get(k) for k in [...]}) , but then those environment variables would be exposed in the ClearML UI, which is not ideal (the environment variables in question hold usernames and passwords, required for DB access)

Maybe this is part of the paid version, but would be cool if each user (in the web UI) could define their own secrets, and a task could then be assigned to some user and use those secrets during boot?

The S3 bucket credentials are defined on the agent, as the bucket is also running locally on the same machine - but I would love for the code to download and apply the file automatically!