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Notes
https://docs.aws.amazon.com/cli/latest/userguide/cli-ec2-sg.html https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing
https://github.com/jupyterhub/jupyterhub/wiki/Run-jupyterhub-as-a-system-service http://www.netzmafia.de/skripten/unix/linux-daemon-howto.html https://gist.github.com/shawnrice/11076762 http://supervisord.org/
This section explains how to setup Jupyter under the ec2-user account. In the end, this is not a necessary component of the final solution. For security reasons, JupyterHub will be used instead to give limited access for analyzing data to user plant_monitor (see the next section). For completeness, the Jupyter installation is described below, inspired by the instructions given in these links.
- https://medium.com/@josemarcialportilla/getting-spark-python-and-jupyter-notebook-running-on-amazon-ec2-dec599e1c297
- https://medium.com/@alexjsanchez/python-3-notebooks-on-aws-ec2-in-15-mostly-easy-steps-2ec5e662c6c6
- https://docs.aws.amazon.com/mxnet/latest/dg/setup-jupyter-configure-server.html
Generate SSL certificates.
mkdir certs
cd certs
sudo openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mykey.key -out mycert.pem
Choose a password and generate an SHA hashed version. It will be used in the further configuration.
ipython
from IPython.lib import passwd
passwd()
Generate Jupyter configuration file.
jupyter notebook --generate-config
Add the following lines to ~/.jupyter/jupyter_notebook_config.py and specify the SHA hashed password. You can directly use the file from this repository You can directly copy the file from this repository https://github.com/salekd/plant_monitor/blob/master/config/jupyter_notebook_config.py
c.NotebookApp.certfile = '/home/ec2-user/certs/mycert.pem'
c.NotebookApp.ip = '*'
c.NotebookApp.keyfile = '/home/ec2-user/certs/mykey.key'
c.NotebookApp.open_browser = False
c.NotebookApp.password = 'sha1:...'
c.NotebookApp.port = 8888
Create a new directory for Jupyter notebooks and start Jupyter.
mkdir notebooks
cd notebooks
jupyter notebook
Jupyter can be accessed on port 8888.
https://ec2-34-243-27-176.eu-west-1.compute.amazonaws.com:8888
Alternatively, a ssh tunnel can be created on your local machine
ssh -i .ssh/my_first_EC2_key.pem -L 8157:127.0.0.1:8888 ec2-user@ec2-34-243-177-120.eu-west-1.compute.amazonaws.com
and Jupyter will be accessible under localhost.