Using AWS Storage with jupyterhub-deploy-docker

[Deepanshu2017]

Hello,

This should be marked as Help Wanted or Question.

I am using the jupyterhub-deploy-docker with Github Authentication. I have the entire setup up and running. Now I want to use th AWS as a backend, where all users notebook would be saved inside the bucket/GibhubUserName/{Userdata}.

I am using s3contents for this. I am able to setup and run the s3contents with Jupyter separately but I am not able to manage to merge both them. In short I am not able to use the s3contents inside jupyterhub-deploy-docker.

I have added these lines at the top of my jupyterhub_config.py file.

c = get_config()

c.NotebookApp.contents_manager_class = S3ContentsManager
c.S3ContentsManager.access_key_id = "KEYID"
c.S3ContentsManager.secret_access_key = "ACCESSKEY"
c.S3ContentsManager.endpoint_url = "ENDPOINT"
c.S3ContentsManager.bucket = "BUCKET"

As I am on a very tight deadline, Any help would be much appreciated @minrk @dalg24 (Sorry for direct mention)

[mathematicalmichael]

hope you figured this out, but if not, isn't it technically possible to mount your s3 bucket to whatever machine the jupyterhub app is working on? Trick the computer into thinking it's a local volume somehow seems like the "easy" way here, but perhaps not correct.

[manics]

Hi :wave: This is an old issue and the repository has been updated. If you have more questions please use the Jupyter community forum https://discourse.jupyter.org/.