NUVOLOS
Sign In
  • Getting Started
    • Introduction to Nuvolos
    • Documentation structure
    • Nuvolos basic concepts
      • Organisational hierarchy
      • Applications
      • Distribution
      • Data integration
      • Snapshots
      • Background tasks
    • Navigate in Nuvolos
    • Quickstart tutorials
      • Research
      • Education (instructor)
      • Education (student)
  • Features
    • Applications
      • Application resources
      • Sessions
        • Session Logs
      • Install a software package
      • Create a persistent .bashrc
      • Automatic code execution
      • Long-running applications
      • Troubleshooting applications
      • New applications or licenses
      • Configuring applications
      • Exporting applications
      • Add-ons
        • MariaDB add-on
        • PostgreSQL add-on
        • OpenSearch add-on
        • MongoDB add-on
        • Redis add-on
        • PostGIS add-on
        • Rclone mount add-on
        • Neo4j add-on
    • File system and storage
      • File navigator
      • Large File Storage
      • Preview files
      • Mount Dropbox
      • Access S3 buckets with RClone
      • Access remote files with SSHFS
      • Access files on SharePoint Online
    • Object distribution
      • Distribution strategies
      • The distributed instance
    • Snapshots
      • Create a snapshot
      • Restore a snapshot
      • Delete a snapshot
    • Database integration
      • Create datasets
      • View tables
      • Build queries
      • Upload data
      • Access data from applications
        • Set up ODBC drivers
        • Obtain tokens for data access
        • Find database and schema path
      • DBeaver integration
    • Environment variables and secrets
    • Searching
      • Page
      • Find an application
      • Find an organisation
      • Find a space
      • Find an instance
      • Find a state
    • Video library
    • Nuvolos CLI and Python API
      • Installing the CLI
      • Using the CLI
  • User Guides
    • Research guides
      • Inviting a reviewer
      • GPU computation
    • Education guides
      • Setting assignments
        • Programmatical assignment handling
      • Documenting your course
      • Setting up group projects
        • Collaborative application editing
      • Configuring student applications
      • Archiving your course
      • Student guides
        • Joining a course
        • Working on assignments
        • Leaving a course
    • Application-specific guides
      • JupyterLab
      • RStudio
      • VSCode
      • Stata
      • MATLAB
      • Terminal
      • Terminal [tmux]
      • Apache Airflow
      • Apache Superset
      • D-Wave Inspector
      • MLFlow
      • Databricks Connect
      • Dynare.jl
      • CloudBeaver
      • InveLab
      • Overleaf
      • Metabase
      • DNDCv.CAN
      • OpenMetaData
      • Uploading data to the Large File Storage
    • Data guides
      • Setting up a dataset on Nuvolos
      • Importing data on Nuvolos
      • A complete database research workflow (Matlab & RStudio)
      • Accessing data as data.frames in R
      • Working with CRSP and Compustat
      • Working with the S&P 500®
  • Pricing and Billing
    • Pricing structure
    • Resource pools and budgets
    • Nuvolos Compute Units (NCUs)
  • Administration
    • Roles
      • Requesting roles
    • Organisation management
    • Space management
      • Invite to a space
      • Revoke a space user
      • HPC spaces
      • Resting spaces
    • Instance management
      • Invite to an instance
    • Enabling extra services
    • Monitoring resource usage
  • Reference
    • Application reference
      • InveLab
        • Dataset selection
        • Modules
          • Time-series visualisation
          • Moment estimation
          • Mean-variance frontiers
          • Frontiers
          • Dynamic strategy
          • Portfolio analysis
          • Performance analysis
          • Benchmarking
          • Carry trade strategies
          • Risk measures
          • Conditional volatility
          • Replication
          • Factor factory
          • Factor tilting
          • Valuation
    • Glossary
  • FAQs
    • FAQs
    • Troubleshooting
      • Login troubleshooting
        • I forgot my email address
        • I forgot my identity provider
        • I can't log in to Nuvolos
        • I forgot my password
        • I haven't received the password reset email
        • I haven't received the invitation email
      • Application troubleshooting
        • I can't see an application
        • I can't start an application
        • I can't create an application
        • I can't delete an application
        • I can't stop a running application
        • JupyterLab 3 troubleshooting
        • Spyder 3.7 troubleshooting
      • Administration troubleshooting
        • I can't see a space
        • I can't create a space
        • I can't delete a space
        • I can't invite admins to my space
        • I can't see an instance
        • I can't create an instance
        • I can't delete an instance
        • I can't invite users to an instance
        • I can't see distributed content in my instance
        • I can't see a snapshot
        • I can't create a snapshot
        • I can't delete a snapshot
        • I can't revoke a user role
        • I can't upload a file
        • I can't delete a file
        • I can't invite students to my course
      • Content troubleshooting
        • I can't find my files in my Linux home
        • I can't find my files among the Workspace files
        • I restored a snapshot by mistake
Powered by GitBook
On this page
  • What space archival means:
  • Notes for space archival:
  • Finding archived spaces
  • Configuring space archival:
  • Instance re-archival

Was this helpful?

  1. User Guides
  2. Education guides

Archiving your course

PreviousConfiguring student applicationsNextStudent guides

Last updated 17 days ago

Was this helpful?

Education spaces typically have a well-defined lifecycle: first the space is prepared for teaching or workshop, then the session(s) take place, finally the space is no longer used actively. To optimise storage usage for our users, education spaces are archived after a previously set date to free up resources that are rarely used anymore.

What space archival means:

  1. Application and personal data in student instances will be backed up to cold storage to free up storage space for use in other spaces.

  2. Application and personal data can be in archived spaces, after which the data can be downloaded or the application(s) can be started again.

  3. After a few days grace period, restored instances in archived spaces are re-archived. To access the data or application again, the appropriate snapshot must be restored again. This can be repeated as many times as necessary.

Notes for space archival:

  1. The master and distributed instances in teaching spaces are never archived. We understand that instructors usually rely on past courses to build current ones - for that reason, data in the Master and Distributed instances is always just a few clicks away.

  2. After a space has been archived, students can still access data and run applications in it. However, archived spaces are not meant for everyday use: instances with restored snapshots are periodically re-archived, without taking safety backups. Restoring a snapshot in an archived space should serve 2 purposes: either to download data or to distribute files/tables/applications to another space.

Finding archived spaces

By default, your archived spaces are not shown in the navigation panel. You need to use the toggle to show them:

Configuring space archival:

You can set the desired archival date at space creation time. The default value is 5 months after creation.

The space will be archived automatically shortly after the set date.

Instance re-archival

To access data in student instances of archived spaces, each student can restore past snapshots to the current state. They will be able to work in the instance as before, however after a 3 days grace period, the contents of the current state will be deleted again.

When an instance is re-archived, all files and folders in its current state are deleted permanently. Don't upload new, valuable data to archived instances, as no automatic backup will be taken before re-archival!

restored easily from snapshots
Archived spaces are not show by default