Utilizing a Snapshot

Since the JupyterLab jobs are hosted on a temporary worker, you will either need to download the software packages every time you start a job, or to save a snapshot of the software environment.

What is a Snapshot?

• A snapshot saves the current software environment in the JupyterLab environment.

• The purpose of the snapshot is to provide a reproducible environment for the JupyterLab jobs.

• It sets up the environment every time you utilize the snapshot. You do not need to manage dependencies every time you open a JupyterLab job if you utilize a snapshot.

• Snapshots are saved in the .Notebook_Snapshots/ folder in the project space, and they have a .tar.gz file ending.

Creating a Snapshot

Utilizing a Snapshot

Snapshots are used in the input section when setting up the JupyterLab Job.

The input is highlighted in the figure below:

Snapshot Best Practices

• Don't save data in your snapshot - it uses storage space and impacts costs.

• Snapshots can be large and take up storage space.

• Make sure to rename the snapshot according to your organization's naming conventions: you can remember what they refer to when returning to the project in the future.