I am using helm to deploy JupyterHub (version 0.8.2) to kubernetes (AWS managed kubernetes "EKS"). I have a helm config to describe the proxy-public service, with an AWS elastic load balancer:
proxy:
secretToken: ""
https:
enabled: true
type: offload
service:
annotations:
service.beta.kubernetes.io/aws-load-balancer-ssl-cert: ...
service.beta.kubernetes.io/aws-load-balancer-backend-protocol: "tcp"
service.beta.kubernetes.io/aws-load-balancer-ssl-ports: "443"
service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: '1801'
Problem: When I deploy JupyterHub to EKS via helm:
helm upgrade --install jhub jupyterhub/jupyterhub --namespace jhub --version=0.8.2 --values config.yaml
The proxy-public svc never get's an external IP. It is stuck in pending state:
> kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
hub ClusterIP 172.20.241.23 <none> 8081/TCP 15m
proxy-api ClusterIP 172.20.170.189 <none> 8001/TCP 15m
proxy-public LoadBalancer 172.20.72.196 <pending> 80:31958/TCP,443:30470/TCP 15m
I did kubectl describe svc proxy-public
and kubectl get events and there does not appear to be anything out of the ordinary. No errors.
You will need another annotation like this in order to use AWS classic loadbalancer.
service.beta.kubernetes.io/aws-load-balancer-internal: 0.0.0.0/0
The problem turned out to be the fact that I had mistakenly put the kubernetes cluster (and control plane) in private subnets only, thus making it impossible for the ELB to get an external IP.
Deploying JupyterHub on kubernetes can be an overkill sometimes if all you want is Jupyterhub which is accessible over the internet for you or your team. Instead of doing the complicated kubernetes setup, you can setup a VM in AWS or any other cloud and have jupyterhub installed and run as a service .
In fact, there is already a VM setup available on AWS, GCP and Azure which can be used to spinup your jupyterhub vm that will be accessible on a public ip and support single or multiuser sessions in just few clicks. Details are below if you want to try it out: