Azure ML real time endpoints stuck in 'Transitioning' state

Sumedha Singh 1 Reputation point
2020-11-29T17:50:54.767+00:00

I am trying to deploy Azure ML models as webservice endpoints using an AKS cluster. I have deployed the real time inference pipeline using the Azure ML Studio interface.
The endpoints deploy successfully and quickly reach a "Healthy" state, however occasionally the deployments are stuck in the "Transitioning" state for indefinite time. This disables the testing for the endpoints on the portal and we are unable to consume the webservice for that period of time.
Any idea why this might be happening, or what I can do to fix this?
Is there a limit to the number of endpoints available on an inference cluster ?

Azure Machine Learning
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An Azure machine learning service for building and deploying models.
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Azure Kubernetes Service (AKS)
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An Azure service that provides serverless Kubernetes, an integrated continuous integration and continuous delivery experience, and enterprise-grade security and governance.
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