accesing Jupyter running in AWS - getting certificate error accessing it - amazon-ec2

Question

I am installing Jupyter notebook in AWS-ec2 as per this tutorial:
https://medium.com/#alexjsanchez/python-3-notebooks-on-aws-ec2-in-15-mostly-easy-steps-2ec5e662c6c6
I am stuck at the point where I try to access the notebook from my laptop and get the below error:
[E 06:33:24.239 NotebookApp] Exception in callback (, .null_wrapper at 0x7f5689fcdd90>)
Traceback (most recent call last):
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tornado/ioloop.py",
line 888, in start
handler_func(fd_obj, events)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tornado/stack_context.py",
line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tornado/netutil.py",
line 276, in accept_handler
callback(connection, address)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tornado/tcpserver.py",
line 264, in _handle_connection
do_handshake_on_connect=False)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tornado/netutil.py",
line 517, in ssl_wrap_socket
context = ssl_options_to_context(ssl_options)
File "/home/ubuntu/anaconda3/lib/python3.6/site-packages/tornado/netutil.py",
line 494, in ssl_options_to_context
context.load_cert_chain(ssl_options['certfile'], ssl_options.get('keyfile', None))
PermissionError: [Errno 13] Permission denied
My jupyter notebook config is below
> c = get_config()
>
> # Kernel config c.IPKernelApp.pylab = 'inline' # if you want plotting support always in your notebook
>
> # Notebook config c.NotebookApp.certfile = u'/home/ubuntu/certs/mycert.pem' #location of your certificate file
> c.NotebookApp.ip = '*' c.NotebookApp.open_browser = False #so that
> the ipython notebook does not opens up a browser by default
> c.NotebookApp.password = u'sha1:262....your hash here.........65f'
> #edit this with the SHA hash that you generated after typing in Step 9
> # This is the port we opened in Step 3. c.NotebookApp.port = 8888

Answer 1

In the Jupyter notebook config file that you have shared in the question above make a few changes by following the steps shown below.
To configure the jupyter config file thoroughly, follow these steps:
cd ~/.jupyter/
vi jupyter_notebook_config.py
Insert this at the beginning of the document:
c = get_config()
# Kernel config
c.IPKernelApp.pylab = 'inline' # if you want plotting support always in your notebook
# Notebook config
c.NotebookApp.certfile = u'/home/ubuntu/certs/mycert.pem' #location of your certificate file
c.NotebookApp.ip = '0.0.0.0'
c.NotebookApp.open_browser = False #so that the ipython notebook does not opens up a browser by default
c.NotebookApp.password = u'sha1:98ff0e580111:12798c72623a6eecd54b51c006b1050f0ac1a62d' #the encrypted password we generated above
# Set the port to 8888, the port we set up in the AWS EC2 set-up
c.NotebookApp.port = 8888
Once you enter these above lines, make sure you save the config file before you exit the vi editor!
And also, most importantly remember to replace sha1:98ff0e580111:12798c72623a6eecd54b51c006b1050f0ac1a62d with your password!
Note that since in the above config file we have given port as 8888, the same is added in the security group. (Custom TCP type,TCP protocol, port range as 8888 and source is custom)
Now you are good to go!
Type the following command:
screen
This command will allow you to create a separate screen for just your Jupyter process logs while you continue to do other work on the ec2 instance.
And now start the jupyter notebook by typing the command:
jupyter notebook
To visit the jupyter notebook from the browser in your local machine:
Your EC2 instance will have a long url, like this:
ec2-52-39-239-66.us-west-2.compute.amazonaws.com
Visit that URL in you browser locally. Make sure to have https at the beginning and port 8888 at the end as shown below.
https://ec2-52-39-239-66.us-west-2.compute.amazonaws.com:8888/
This should get it running.