I have Jupyterhub 0.2.0 and ipyparallel 4.0.2 installed and working and can successfully start an ipcluster using the "ipython clusters" tab of the web interface. I've confirmed that the engines are running by creating a basic notebook that prints out the id's of the running engines:

from ipyparallel import Client
c = Client(profile='default')
c.ids

The notebook shows the ids correctly. The problem is, when I stop the server from the control panel, start it back up again, and I click over to the "ipython clusters" tab, it says there are none running. However, the engines are still running in my process tree when I do ps aux|grep ipyparallel. When I re-run the notebook it still sees the engines and prints out the ids.

Is this a known issue? I plan on using this in a cluster-computing environment using a scheduling system, so users will need to see if they have ipclusters running. As of now, users will be checking the tab, maybe seeing erroneous information and starting up potentially a whole bunch of different clusters. This would create a bit of a management nightmare. Any thoughts?