I have set up a cluster with ipyparallel on my local machine and wish to convert it to a dask cluster. My primary motivation for this is to be able to use the web ui with dask (via bokeh) to monitor the performance.
When I convert the ipyparallel cluster to a dask cluster, it does not start the bokeh web ui. Does anyone know how to launch the web UI either in the become_dask() function or after I have started dask
client_ipp = ipp.Client(profile='ipp_1')
dview = client_ipp[:]
bview = client_ipp.load_balanced_view()
e = client_ipp.become_dask()
e
Client
Scheduler: tcp://XX.XXX.X.XX:XXXXXCluster
Workers: 8 Cores: 8 Memory: 33.60 GB
If I start a cluster directly with Dask I get:
from distributed import client
c3 = Client()
c3
Client
Scheduler: tcp://XXX.X.X.X:XXXXX Dashboard: http://XXX.X.X.X:XXXXXCluster
Workers: 8 Cores: 8 Memory: 33.60 GB
