New to Jupyterhub on Kubernetes on AZURE - but have successfully setup scaling k8s and vnet/subnet added a load balancer connected to my fixed IP.
Helm chart deploys perfectly without fixed public IP. Unfortunately, I need a fixed IP to associate the DNS name.
I cannot get the IP address to fix to the Jupyterhub instance.
If I use "
proxy:
secretToken: “lotsaletters”
cookieSecret: “lotsaletterstoo”
service:
# loadBalancerIP: XXX.XXX.XXX.XXX # note real IP address used/
custom:
a: b
I get the dreaded “Pending” message.
If I identify the subnet in the load balancer I can get the IP address to appear - but it is not connected to the ingress of jupyterhub.
I have tried everything over the last few days without success.
Has anyone achieved this on AZURE and could share a step by step it would make me happy and probably many more!
Thanks