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README.md
Notebook Controller
The controller allows users to create a custom resource "Notebook" (jupyter notebook). We originally wrote the controller using jsonnet and metacontroller, but are migrating to golang and Kubebuilder here. See discussion.
Spec
The user needs to specify the PodSpec for the jupyter notebook. For example:
apiVersion: kubeflow.org/v1alpha1
kind: Notebook
metadata:
name: my-notebook
namespace: test
spec:
template:
spec: # Your PodSpec here
containers:
- image: gcr.io/kubeflow-images-public/tensorflow-1.10.1-notebook-cpu:v0.3.0
args: ["start.sh", "lab", "--LabApp.token=''", "--LabApp.allow_remote_access='True'",
"--LabApp.allow_root='True'", "--LabApp.ip='*'",
"--LabApp.base_url=/test/my-notebook/",
"--port=8888", "--no-browser"]
name: notebook
...
The required fields are containers[0].image and (containers[0].command and/or containers[0].args).
That is, the user should specify what and how to run.
All other fields will be filled in with default value if not specified.
Environment parameters
ADD_FSGROUP: If the value is true or unset, fsGroup: 100 will be included in the pod's security context. If this value is present and set to false, it will suppress the automatic addition of fsGroup: 100 to the security context of the pod.
Implementation detail
This part is WIP as we are still developing.
Under the hood, the controller creates a StatefulSet to run the notebook instance, and a Service for it.
TODO
- e2e test (we have one testing the jsonnet-metacontroller one, we should make it run on this one)
statusfield should reflect the error if there is any. See #2269.- Istio integration (controller will generate istio resources to secure each user's notebook)
- CRD validation
ttlSecondsAfterFinished: This is in the original jsonnet controller spec, but not being used yet. I think we want to cleanup the notebook after idle?