What is it

Simply runs jupyter notebook server on 8888 port (example for Puzl cloud).

Requirements

• Python 3.6 or higher
• requirements.txt

All the requirements are installing in run.sh file, which should be set as a Docker entry point.

Run

Docker image

Choose any Docker image, contains:

1. Needed version of Python.
2. Jupyter Notebook.

or use any pre-defined machine learning image from Puzl cloud. You can find dockerfiles here.

Git repository

To use your repo from Github without ssh inside a Docker container, generate and use personal access token.

https://[email protected]/puzl-ee/example-jupyter-notebook-server.git

Entry point

This will install all requirements.txt and run application then.

bash ./run.sh

Jupyter port

Add port 8888 via Puzl dashboard.

Kubernetes Service will be created for your pod automatically.

Environment variables

NOTEBOOK_DIR - optional path to Jupyter directory, default is /media

Notice: if you use Puzl dashboard, we highly recommend to create a volume and put its path /media/%volume_name% to NOTEBOOK_DIR

Use

After your pod is up and running in Kubernetes cluster:

1. View logs of this pod.
2. Find Jupyter access token in logs.
3. Copy token.
4. Access your Jupyter by a given external port and host name with YOUR_TOKEN copied from pod's logs.

http://host:external_port/?token=YOUR_TOKEN

Using SSL for encrypted communication

Ignore browser errors because self-signed certificate is used.

If you don't need ssl:

1. Comment 1 line in run.sh

openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout /tmp/mykey.key -out /tmp/mycert.pem

2. Comment 2 lines in jupyter_notebook_config.py

c.NotebookApp.certfile = '/tmp/mycert.pem'
c.NotebookApp.keyfile = '/tmp/mykey.key'