Comments (5)
Hey @mathbunnyru! Just wanted to report that we just deployed the new
2024-01-08
tag in our Swarm cluster and the healthcheck script is working perfectly with customised runtime dir now! 🎉
Thanks for the update, I'm glad everything works for you 🙂
Thanks for the quick review and tag update! Really appreciate the work you do with these images.
Thank you ❤️ Please, consider sponsoring my work (I do not insist, though) 🙂
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Hi @hhromic! Thank you for such a detailed issue - you've done a great job investigating this issue.
If you agree with the above, I can send a PR with this fix.
I do agree and your solution seems to be reasonable.
Also, please, include the test here: https://github.com/jupyter/docker-stacks/blob/main/tests/base-notebook/test_healthcheck.py I think you will only need to add one line of code to this test file.
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The workaround we are using for now is to disable healthchecks in the compose file. For example:
services:
notebook:
image: quay.io/jupyter/scipy-notebook:2023-12-25
healthcheck:
disable: true
from docker-stacks.
@mathbunnyru done!
Let me know what do you think in the PR itself.
Happy to help to this nice project 👍.
from docker-stacks.
Hey @mathbunnyru!
Just wanted to report that we just deployed the new 2024-01-08
tag in our Swarm cluster and the healthcheck script is working perfectly with customised runtime dir now! 🎉
Thanks for the quick review and tag update! Really appreciate the work you do with these images.
from docker-stacks.
Related Issues (20)
- Broken docker-stacks-foundation image HOT 1
- Broken docker-stacks-foundation image #2 HOT 2
- Install latest spark version automatically
- [jupyter/tensorflow-notebook] Kernel stays in Busy mode indefinitely HOT 6
- After starting the container with NB_USER=root, NB_UID=0, and NB_GID=0, $HOME environment variable is still /home/jovyan HOT 3
- Python version pinning mechanism in docker-stack-foundation does not match comment description HOT 1
- GitHub ARM64 runners are now available HOT 4
- seems broken: Infinite API requests to api/kernels/<changing-constantly>/channels?session_id=<changing-constantly> and kernel error HOT 5
- NB_USER does not have permissions to mounted directory HOT 16
- Update docker HOT 6
- Add container images for the GPU version of TensorFlow and PyTorch Notebook HOT 7
- Is the latest build correctly labeled on quay.io HOT 3
- Updates to Docker Hub have stopped HOT 3
- Default JUPYTER_PORT HOT 2
- Kernel crash when using tensorflow/pytorch notebook image HOT 5
- build error HOT 3
- Update images to Ubuntu 24.04 LTS HOT 2
- PySpark Notebook 3.5.1 HOT 1
- R v4.4.0 needed for r-notebooks due to security vulnerability HOT 3
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