Internal server error while deploying scoring endpoint

Christoph Gattermayr 1 Reputation point
2021-11-30T12:18:34.127+00:00

Dear Azure community,

Unfortunately, I am currently failing to deploy a scoring endpoint via ml studio or via the azure cli. I always get an internal server error (500). It's not because of the qutoas (I already requested additional ones).

The specific configurations and models would be those from the Azure Samples on GitHub (azureml-examples\cli\endpoints\online\model-1\onlinescoring\score.py and azureml-examples\cli\endpoints\online\managed\sample\endpoint.yml and blue-deployment.yml

My own configurations are based on this 1:1. Both configurations are not a problem locally and run smoothly. The server error only comes when deploying online.

Unfortunately I don't have any further error information from the 500.

Region: West Europe
Subscription: Visual Studio Enterprise - MPN

Has anyone ever had this problem? Could someone please help me here?

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
2,551 questions
0 comments

1 answer

Sort by: Most helpful
Most helpful Newest Oldest
  1. Ramr-msft 17,606 Reputation points
    2021-11-30T16:33:17.527+00:00

    @Christoph Gattermayr Thanks for the details, Please share details of your experiment and issue from the ml.azure.com portal for a service engineer to lookup the issue from the back-end? This option is available from the top right hand corner of the portal by clicking the smiley face, Please select the option Microsoft can email you about the feedback along with a screen shot so our service team can lookup and advise through email.