Configuring Z2JH with metallb load balancer

General
1

I have an on-prem bare metal 4 node network and using MetalLB for the load balancer

metallb.yaml file

apiVersion: v1
kind: ConfigMap
metadata:
  namespace: metallb-system
  name: config
data:
  config: |
    address-pools:
    - name: default
      protocol: layer2
      addresses:
      - 192.168.1.240-192.168.1.250

Here is the config.yaml file I used with the jhub

proxy:
  secretToken: "05916d6e0eb9b91a594a209c84bc2b86e86af742a995691e957711ac4c339412"
spec:
  ports:
  - "name": "http"
    "port": 80
    "protocol": "TCP"
    "targetPort": 80
  selector:
    "app": "jupyterhub"
  "type": "LoadBalancer"

For some reason, the jhub is pod is stuck in pending mode

$ kubectl --namespace=jhub get pod
NAME                             READY   STATUS    RESTARTS   AGE
hub-678f7748f9-ncxnz             0/1     Pending   0          4m8s
proxy-5d78c5cc58-7g8h2           1/1     Running   0          4m8s

$ kubectl get service --namespace jhub
NAME           TYPE           CLUSTER-IP      EXTERNAL-IP     PORT(S)                      AGE
hub            ClusterIP      10.107.96.150   <none>          8081/TCP                     13m
proxy-api      ClusterIP      10.99.231.34    <none>          8001/TCP                     13m
proxy-public   LoadBalancer   10.106.84.199   192.168.1.240   80:31185/TCP,443:30004/TCP   13m
2

Do you have dynamic persistent volumes on your cluster? If not you might need to
change the hub storage configuration: https://zero-to-jupyterhub.readthedocs.io/en/latest/reference.html?highlight=sqlite-memory#hub-db-type

kubectl describe pod should tell you if this is the problem.

You should also change your secretToken since you’ve included it in your pasted config which is a security risk.

1 Like
3

@manics
Thanks for replying.
My network is made up of 4 PCs (1 master and 3 minions).
I’ll run the command and read the info you recommended

PS… That’s a token from a previous attempt

4

@manics

Events:
Type Reason Age From Message

Warning FailedScheduling 2m2s (x79 over 47m) default-scheduler pod has unbound immediate PersistentVolumeClaims (repeated 4 times)

Name: hub-678f7748f9-vxngc
Namespace: jhub
Priority: 0
PriorityClassName:
Node:
Labels: app=jupyterhub
component=hub
pod-template-hash=678f7748f9
release=jhub
Annotations: checksum/config-map:
Status: Pending
IP:
Controlled By: ReplicaSet/hub-678f7748f9
Containers:
hub:
Image: jupyterhub/k8s-hub:0.8.0
Port: 8081/TCP
Host Port: 0/TCP
Command:
jupyterhub
–config
/srv/jupyterhub_config.py
–upgrade-db
Requests:
cpu: 200m
memory: 512Mi
Environment:
PYTHONUNBUFFERED: 1
HELM_RELEASE_NAME: jhub
POD_NAMESPACE: jhub (v1:metadata.namespace)
CONFIGPROXY_AUTH_TOKEN: <set to the key ‘proxy.token’ in secret ‘hub-secret’> Optional: false
Mounts:
/etc/jupyterhub/config/ from config (rw)
/etc/jupyterhub/secret/ from secret (rw)
/srv/jupyterhub from hub-db-dir (rw)
/var/run/secrets/kubernetes.io/serviceaccount from hub-token-j597n (ro)
Conditions:
Type Status
PodScheduled False
Volumes:
config:
Type: ConfigMap (a volume populated by a ConfigMap)
Name: hub-config
Optional: false
secret:
Type: Secret (a volume populated by a Secret)
SecretName: hub-secret
Optional: false
hub-db-dir:
Type: PersistentVolumeClaim (a reference to a PersistentVolumeClaim in the same namespace)
ClaimName: hub-db-dir
ReadOnly: false
hub-token-j597n:
Type: Secret (a volume populated by a Secret)
SecretName: hub-token-j597n
Optional: false
QoS Class: Burstable
Node-Selectors:

Events:
Type Reason Age From Message

Warning FailedScheduling 2m2s (x79 over 47m) default-scheduler pod has unbound immediate PersistentVolumeClaims (repeated 4 times)