A TLJH installation is supposed to be upgradable to get updates to JupyterHub itself and its dependencies in the hub environment. For details on what is done during an upgrade, see What is done during an upgrade of TLJH?.
Step 1: Read the changelog#
Before making an upgrade, please read the Changelog to become aware about breaking changes. If there are breaking changes, you may need to update your configuration files or take other actions as well as part of the upgrade.
Adjusting to the breaking changes isn’t part of this documentation, please rely on the TLJH changelog and the changelogs of related projects linked to from the TLJH changelog.
Step 2: Consider making a backup#
Before making an upgrade, consider if you want to first make a backup in some way. While upgrades between TLJH versions are tested with automation, there are no guarantees.
This project does’t yet provide documentation on how to make backups, but if
TLJH is installed on a virtual machine in a cloud, a good option is to try
create a snapshot of the associated disk. If this isn’t an option, you could
consider making a backup of the files in
/opt/tljh that contain most but not
all things during an upgrade, or perhaps only the JupyterHub database with
information about its users in
/opt/tljh/state together with some other
Step 3: Make the upgrade#
To initialize the upgrade, do the following from a terminal on the machine where TLJH is installed.
# IMPORTANT: This should NOT be run from a JupyterHub started user server, but
# should only run from a standalone terminal session in the machine
# where TLJH has been installed.
curl -L https://tljh.jupyter.org/bootstrap.py \
| sudo python3 - \
You can also upgrade to specific version by changing
--version=1.0.0 or similar. There is no need to specify admin users etc again.
Step 4: Verify function#
After having made an upgrade its always good to verify that the JupyterHub installation still works as expected. You may want to try logging out, logging in, and starting a new server for example.
If you have issues consider the Troubleshooting documentation. If you need help you can ask questions in Jupyter forum, and if you think there is a bug or documentation improvement that should be made you can open an issue or pull request in the TLJH GitHub project.