canonical / canonical/data-science-stack
Question: How are DSS ClusterIP services available outside the kubernetes cluster ?
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- Python
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Description
Hi,
I am getting interested in DSS and especially proposing it as a service to my team (data science in physics) on a shared host.
I have noticed that the notebooks and mlflow are exposed using k8s ClusterIP services, their IP should be only available inside the cluster, how are you able to expose this IP outside of the cluster ?
And as a follow-up question, do you plan to use other kind of service types, such as NodePort or LoadBalancer, or even ingress to enable to propose DSS from remote hosts ? For example, provisioning an AWS EC2 instance with a powerful GPU and sharing it with multiple members.
Note: Sorry if it is not the right channel to ask this kind of question.
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