jgwerner

# based in large part from https://raw.githubusercontent.com/khwilson/nvidia-docker-aws/master/nvidia.sh

#!/bin/bash

set -x
set -e

# Update and upgrade
echo "--"
echo "-- Running ubuntu updates and Ugrade"

jgwerner

from jupyter_core.paths import jupyter_data_dir
import subprocess
import os
import errno
import stat

c = get_config()
c.NotebookApp.ip = '*'
c.NotebookApp.port = 8888
c.NotebookApp.open_browser = False

jgwerner

Data Science Workflow

Define the Problem

• What is the problem? Provide formal and informal definitions.
• Why does the problem need to be solved? Motivation, benefits, how it will be used.
• How would I solve the problem? Describe how the problem would be solved manually to flush domain knowledge.

Prepare Data

jgwerner

jgwerner

# Based in large part from https://github.com/canha/golang-tools-install-script

#!/bin/bash
set -e

VERSION="1.9"

print_help() {
    echo "Usage: bash goinstall.sh OPTION"
    echo -e "\nOPTIONS:"

jgwerner

# remove docker images by line in text file
# alternative to `docker images purge`
!/bin/bash

images_file=dangling_images.txt

list_dangling_images () {
  docker images --filter dangling=true | while read IMAGE_ID; do
    >> $images_file
  done

jgwerner

"""
Creates the shared grader notebook list by looping through a course array and then calls the
grader-setup-service microservice to create the grader notebook for the course if it doesn't exist.

All courses are created as deployments. To fetch a list of grader deployments that should be reflected
then run:

```
kubectl get deployment -n <namespace>
```

jgwerner

IllumiDesk Accessibility Conformance Report

Revised Section 508 Edition

VPAT

Version 2.4 (Revised) – January 2021

Name of Product:

jgwerner

hostAliases: []
commonLabels: {}
commonAnnotations: {}
clusterDomain: cluster.local
extraDeploy: []
image:
  registry: docker.io
  repository: illumidesk/keycloak
  tag: latest
  ## Specify a imagePullPolicy

jgwerner

Keycloak + JupyterHub + ingress-nginx + AWS NLB

Overview

We have successfully set up a working version of Keycloak with Kubernetes (we are using AWS EKS) with JupyterHub using the [ingress-nginx)(https://github.com/kubernetes/ingress-nginx) as a reverse proxy. Keycloak is set up with JupyterHub as a standard OIDC client (confidential) and the JupyterHub successfully redirects to the Keycloak page that prompts the user to login. (For FYI this configuration is set up with the GenericOAuthenticator).

The Keyclaok Identity Provider has been tested with multiple third-party SAML IdP's, such as Okta and Auth0. The Keycloak broker successfully connects with the IdP and the user is prompted to add their credentials. After succussfully authenticating, however, the Keycloak service returns:

14:39:41,946 WARN  [org.keycloak.events] (default task-60) type=IDENTITY_PROVIDER_RESPONSE_ERROR