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Hi all,
We at our company are trying to figure out if Kubernetes is the right solution for our edge devices deployments, which run heavy machine learning algorithms for image processing & camera video feed based analytics.
One particular thing in the design is regarding the continuous delivery at every edge device ?
Is there any already designed framework that can manage this?
As of now, I have only got custom hooks calling my individual API servers port-forwarded at a central server. It seems good for a POC but I am not sure about running this on any sincere scale.
Kindly help me out for the same.