Azure Machine Learning Studio environment fails to build with context

Question

I'm trying to build an environment for ML Studio which requires some private compiled binaries. I packed these files into a Tar (about 2.8 MB, if it's relevant) and added them to the context tab of an existing environment (I want to update it). I then added this Tar in my Dockerfile and built the environment, but it failed instantly. The log tab also doesn't open (it just sits loading).

I tried changing things around to eliminate as many variables as possible:

• Instead of using ADD I tried COPY: No change
• I tested building the Dockerfile locally in a folder containing only the Dockerfile and the tar: It worked
• I tested clicking the "Download Content" button and building the image in the downloaded folder: It worked
• I tried removing all references to the Tar from the Dockerfile but still uploading the file: It failed instantly
• I tried uploading an equivalent Zip file: It failed in the same way
• I uploaded a single text file instead of the Tar: It worked

How can I get this to work?

Answer 1

@romungi-MSFT I managed to get the environment to run by manual building it in the registry, then registering a new environment with this registry image. However, it's annoying to have to redo this every time I need to change something. Anything else I should try to get the portal to work properly?