Ah, that's unfortunate.

We have a product that has a small ML component that provides a way for the end-user to train a model on their own data.

We would like to use the ClearML Server to track experiments run by the end user. We'll have to make sure that our product sends results correctly to the ClearML Server we are running locally.

We do development with docker-compose , so we'd like to run the various ClearML Server containers in our own docker-compose setup (instead of us...

Without the Dockerfile available, I'll have to poke around the the actual clearml Docker image.

SuccessfulKoala55 Ah, that makes sense. It is possible we won't have any of those sorts of tasks, so it sounds like it may be possible we won't need the agent-services container running.

I'll have to keep this in mind though in case we do end up needing something like this.

SuccessfulKoala55 Yes, I believe adding an option to configure the apiserver service name using an environment variable would be helpful. Thanks.

Currently I had added a network alias, but I'll have to see if extra_hosts is easier to use.

It seems like the clearml docker image (and the docker-compose.yaml file provided in the allegroai/clearml-server repo) make some assumptions about container names and ports.

I wanted to look through the Dockerfile to see how the clearml-server image is constructed, in order to see how much flexibility there is to set different values through environment variables or config files.

Thanks for the suggestions. I'll have to look into creating my own notification task.

SuccessfulKoala55 Thanks for the offer! You're correct, I am interested in more of the actual server configuration, rather than just the Dockerfile .

So I have poked around a little in the Docker image, so I have a very basic idea of how things are working together.

I have two main questions:

In the allegroai/clearml image, it appears that the /etc/nginx/nginx.conf file hard-codes the name of the apiserver container to, well, apiserver . But in my ` docker-c...