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#!/bin/bash

# delete the jupyter deployment
kubectl delete -f /tmp/deploy.yaml

# delete the FSx filesystems
kubectl delete -f /tmp/claim.yaml
kubectl delete -f /tmp/claim-kf.yaml
kubectl delete -f /tmp/storage-class.yaml
kubectl delete -k github.com/kubernetes-sigs/aws-fsx-csi-driver/deploy/kubernetes/overlays/stable/?ref=master

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apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: fsx-claim-kf
  namespace: anonymous
spec:
  accessModes:
    - ReadWriteMany
  storageClassName: fsx-sc
  resources:

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#!/bin/bash

# based on https://www.kubeflow.org/docs/aws/deploy/install-kubeflow/

# install the the latest kfctl
LATEST_KFCTL=`curl -s https://api.github.com/repos/kubeflow/kfctl/releases |
    jq ".[0].assets | map(select(.name | contains(\"linux\"))) | .[0].browser_download_url" |
    tr -d '"'`

echo "Downloading kfctl from" $LATEST_KFCTL

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apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  labels:
    app: jupyter
  name: jupyter
spec:
  replicas: 1
  selector:

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kubectl create deployment --image=jupyter/tensorflow-notebook:latest jupyter --dry-run -o yaml > /tmp/deploy.yaml
code-insiders /tmp/deploy.yaml
kubectl apply -f /tmp/deploy.yaml

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#!/bin/bash

# from https://aws.amazon.com/blogs/opensource/using-fsx-lustre-csi-driver-amazon-eks/
# and
# from https://github.com/kubernetes-sigs/aws-fsx-csi-driver
pushd /tmp

# create an IAM policy to allow FSx use
cat >policy.json <<EOF
{

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kubectl create deployment --image=jupyter/tensorflow-notebook:latest jupyter