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Author's profile photo Frank Schuler

Prototype your SAP Data Intelligence ML Scenario with Docker Desktop

Previously, I described how to Prototype your SAP Data Intelligence ML Scenario on Raspberry Pi.

Inspired by Ravi Mittal’s excellent blog Manage your First Container using Kubernetes in SAP Cloud Platform, Kyma Runtime I got intrigued to use Docker Desktop instead.

Who would have thought that it comes with Kubernetes?

Adding Kubernetes Dashboard (see Appendix)

And JupyterHub (see Appendix) is easy enough. With this I create my Jupyter Notebook as before to import into SAP Data Intelligence later

On top I got complete control of my Containers / Apps

How cool is that?


Kubernetes Dashboard

kubectl apply -f
kubectl patch deployment kubernetes-dashboard -n kubernetes-dashboard --type 'json' -p '[{"op": "add", "path": "/spec/template/spec/containers/0/args/-", "value": "--enable-skip-login"}]'
kubectl apply -f
kubectl patch deployment metrics-server -n kube-system --type 'json' -p '[{"op": "add", "path": "/spec/template/spec/containers/0/args/-", "value": "--kubelet-insecure-tls"}]'
kubectl proxy


helm repo add jupyterhub
helm repo update
helm upgrade --install jupyterhub jupyterhub/jupyterhub


pip install sklearn
pip install matplotlib
from sklearn import datasets
from matplotlib import pyplot
df = datasets.load_iris()
x =
y_true =
fig = pyplot.figure()
ax = fig.add_subplot(projection='3d')

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