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More information & transparency about deployment process of Shiny App needed - Watson Machine Learning
Currently when promoting a Shiny App from Watson Studio to Watson Machine Learning and deploying this Shiny App in Watson Machine Learning there is only little feedback over the progress of the deployment. This is making it difficult troubleshooting and identifying the right corrections in case of a problematic deployment.
Sometimes, deployments take longer than expected and then it would be good to see whether it hangs altogether or if it progresses, but slowly. If it hangs it would be good to get a clear feedback as to why that happened right there from where the deployment has been triggered. Only for very difficult cases it is acceptable digging into pod logs at all, but preferably all feedback should be summarized on the deployment UI The benefit is that users can possibly correct misconfigurations quicker and resolve themselves without having to engage System Administrators. Issues can thus get resolved quicker and lead to less frustration.
Affected are any users that are involved in the deployment of Shiny Apps.
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