
JupyterLab provides a web-based development environment for data science and AI projects. It is a flexible interface that allows developers to configure and manage machine learning and scientific computing workflows. JupyterLab is the next generation of the Jupyter Notebook. It's designed to fix many usability issues of the Notebook, and it greatly expands its scope with support for more than 40 programming languages, including R, Python, Scala, and Julia.
This article demonstrates the steps to configure and daemonize the JupyterLab server, set up the Nginx web server as a reverse proxy, and secure the environment using a Let's Encrypt SSL certificate.
Before you begin, you should:
A record. This article uses jupyterlab.example.com for demonstration.JupyterLab is an all-inclusive package; there are no extra packages you need to install manually other than the virtualenv package, which is used to isolate the Jupyter kernel.
Install the virtualenv package.
Create a new directory and navigate into it.
Create and activate a new Python virtual environment.
The above commands create a new directory on the server named env that contains the Python virtual environment files. You use the activate binary file inside the bin directory to enter the virtual environment.
Update the pip package manager.
Install the JupyterLab package.
The above command installs the latest version of JupyterLab.
By default, whenever you spawn a JupyterLab server, it generates a unique token that grants access to the interface. This section demonstrates the steps to configure the JupyterLab server to use a static password and allow remote access.
Generate a password hash.
The above command generates a hash of the provided input. It uses the Argon2 password hashing function to generate the hash.
Copy the generated hash for later use.
Create a new directory to organize Jupyter Notebooks.
Create a JupyterLab configuration file.
The above command generates a configuration file for persistent settings.
Copy and paste the below configurations.
The above configuration allows JupyterLab to accept remote connections and sets a static password for interacting with the interface.
Make sure to provide the hash generated earlier in the configuration.
Save and exit the file.
Disable the firewall.
The above command disables the firewall allowing inbound connections to all the ports. You enable the firewall in the later steps to secure your server.
Run the JupyterLab server.
The above command spawns a JupyterLab server on the default port 8888. You can open the interface in your web browser using http://PUBLIC_IP:8888 and log in using the password used in the previous steps. After confirming the access, stop the server using Ctrl + C to follow along with the next steps.
In this section, you create a new service for the JupyterLab server to run in the background and start automatically during the server boot process.
Get the paths for Python and Jupyter.
Copy the paths to use them in the systemd service.
Deactivate the virtual environment.
Create a new service named jupyterlab.
Add the following contents to the file.
The above systemd file content creates a new service named jupyterlab, uses the configuration file to spawn the server. Ensure that you replace the USER and the *_PATH values in the content.
Save and exit the file.
Initialize the jupyterlab service.
You can confirm the access by opening the interface in your web browser using http://SERVER_IP:8888 and logging into it using the password used in the previous steps.
This section demonstrates the steps to install and configure the Nginx web server as a reverse proxy server that channels incoming HTTP/HTTPS traffic to the JupyterLab server.
Install the Nginx package.
Swap the Nginx configuration.
Add the following contents to the file.
The above configuration channels all the incoming HTTP traffic on jupyterlab.example.com to localhost at port 8888 using a virtual host.
Restart the Nginx server.
You can confirm the access by opening the interface in your web browser using http://jupyterlab.example.com and log in to it using the password used in the previous steps.
Let's Encrypt is an automated, open certificate authority that offers free TLS/SSL certificates for public benefit. It allocates the certificates using the ACME protocol. In this section, you will install the Certbot package, an ACME client that allows automatic SSL certificate issuance and renewals.
Install the Certbot package.
Create a new Let's Encrypt certificate for the virtual host.
The above command issues an SSL certificate and updates the Nginx configuration to use HTTPS. You can confirm the access by opening the interface in your web browser using https://jupyterlab.example.com and log in to it using the password used in the previous steps.
The JupyterLab environment requires inbound SSH, HTTP, and HTTPS traffic.
This article demonstrated the steps to configure and daemonize the JupyterLab server, set up the Nginx web server as a reverse proxy, and secure the environment using a Let's Encrypt SSL certificate.
Refer to the JupyterLab Documentation for more information.
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