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Deep Learning AMI
Developer Guide

Custom SSL and Server Configuration

Here we set up a Jupyter notebook with SSL and a config file.

Connect to the Amazon EC2 instance, and then complete the following procedure.

Configure the Jupyter server

  1. Create an SSL certificate.

    $ cd $ mkdir ssl $ cd ssl $ sudo openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout "cert.key" -out "cert.pem" -batch
  2. Create a password. You use this password to log in to the Jupyter notebook server from your client so you can access notebooks on the server.

    1. Open the iPython terminal.

      $ ipython

      At the iPython prompt, run the passwd()command to set the password.

      iPythonPrompt> from IPython.lib import passwd iPythonPrompt> passwd()

      You get the password hash (For example, sha1:examplefc216:3a35a98ed...).

    2. Record the password hash.

    3. Exit the iPython terminal.

      $ exit
  3. Edit the Jupyter configuration file.

    Find jupyter_notebook_config.py in the ~/.jupyter directory.

  4. Update the configuration file to store your password and SSL certificate information.

    1. Open the .config file.

      $ vi ~/.jupyter/jupyter_notebook_config.py
    2. Paste the following text at the end of the file. You will need to provide your password hash.

      c = get_config() # Get the config object. c.NotebookApp.certfile = u'/home/ubuntu/ssl/cert.pem' # path to the certificate we generated c.NotebookApp.keyfile = u'/home/ubuntu/ssl/cert.key' # path to the certificate key we generated c.NotebookApp.ip = '*' # Serve notebooks locally. c.NotebookApp.open_browser = False # Do not open a browser window by default when using notebooks. c.NotebookApp.password = 'sha1:fc216:3a35a98ed980b9...'

      Note

      If you're using a DLAMI that doesn't have a default Jupyter config file for you, you need to create one.

      $ jupyter notebook --generate-config

      Once created, follow the same steps for updating the config with your SSL info.

      This completes Jupyter server configuration.

Next Step

Start the Jupyter notebook server