I had a good look at all the introduction video on youtube and had some questions. Context: if we are going to deploy and maintain ClearML servers our self in Azure:

• Can ClearML handle ActiveDirectory sign in ?
• We have a custom model deployment pipeline: we do bundle them in installer rather than serve them as API on the web. Once a data scientist manage to build a model that he want to "deploy", how can he trigger our deployment pipeline from the UI and having a trace of it? In the rought way, you can tell the deploy pipeline that the model with this clearMl model id is ready to be deployed, and the deployment code use clearML API to pull the artefact and build the installer. But then how do you trace/track that ? Is there any hooks or webhooks in ClearML that get trigger when a model is tagged or publish ? I am thinking of the equivalent in MLFlow where a model change its stage to Production, a webhook is triggered.If there are any documentation relevant to my questions, I would appreciate if you can send those to me. Happy to real all that !