My desktop at work is a powerful machine I use for exploratory data analysis and other machine learning work-flows.
In this post I will go over how I connect to my work machine and run Jupyter Notebook work loads when I am working remotely.
SSH into remote machine
Step 1 is to ssh into your remote machine and launch
Jupyter Notebook to a local port with the
user@local_machine$ ssh user@remote_machine
user@remote_machine$ jupyter notebook --no-browser --port=8889
Setting up an SSH tunnel
Step 2 is to set up an SSH tunnel from your local machine to
port 8889 on the remote machine where the
Jupyter Notebook is being served.
user@local_machine$ ssh -N -L localhost:8888:localhost:8889 user@remote_mahcine
Here is a break down of the ssh options
- -N Do not execute a remote command. This is useful for just forwarding ports
- -L local_socket:remote_socket
Specifies that connections to the given TCP port or Unix socket on the local (client) host are to be forwarded to the given host and port, or Unix socket, on the remote side. This works by allocating a socket to listen to either a TCP port on the local side, optionally bound to the specified bind_address, or to a Unix socket. Whenever a connection is made to the local port or socket, the connection is forwarded over the secure channel, and a connection is made to either host port hostport, or the Unix socket remote_socket, from the remote machine.
- Port forwardings can also be specified in the configuration file. Only the superuser can forward privileged ports. IPv6 addresses can be specified by enclosing the address in square brackets.
- By default, the local port is bound in accordance with the GatewayPorts setting. However, an explicit bind_address may be used to bind the connection to a specific address. The bind_address of “localhost” indicates that the listening port be bound for local use only, while an empty address or ‘*’ indicates that the port should be available from all interfaces.
Note that running the SSH tunnel with
-N will not log any outputs, as long as you do not get an error this means you have established a tunnel.
Load Jupyter Notebook on a local brower
On the local machine browser load
localhost:8888 and the
Jupyter Notebook from your remote machine will load out as expected.