Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.

Deploy kfserving v0.3.0 and sample app

kubectl apply -f kfserving.v0.3.0.yaml
kubectl apply -f sklearn.yaml

I have k8s cluster with enabled PSP and ImagePullAlways plugin
https://kubernetes.io/docs/reference/access-authn-authz/admission-controllers/
After all kservice isn't working

kubectl describe replicaset.apps/sklearn-iris-predictor-default-x9v87-deployment-784dbd

The default runtime image metadata files should include a meaningful description to follow good practices.

Current content example

{
  "display_name": "Pytorch 1.4 with CUDA-runtime",
  "metadata": {
    "image_name": "pytorch/pytorch:1.4-cuda10.1-cudnn7-runtime"
  },
  "schema_name": "runtime-image"
}

Once elyra-ai/elyra#985 is merged, the images s

This could be example that uses these supported syntax and APIs:

https://github.com/couler-proj/couler/tree/d34a690/couler/core/syntax