When trying to install Jupyterhub on Kubernetes (EKS) I am getting below error in the Hub pod. This is output of describe pod. There was similar issue reported and i tried the solution but it didn't work.
Warning FailedScheduling 52s (x2 over 52s) default-scheduler 0/3 nodes are available: 1 Insufficient cpu, 2 node(s) had no available volume zone.kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: standard
annotations:
volume.alpha.kubernetes.io/storage-class: default
provisioner: kubernetes.io/aws-ebs
parameters:
type: gp2
allowedTopologies:
- matchLabelExpressions:
- key: failure-domain.beta.kubernetes.io/zone
values:
- us-east-1a
- us-east-1b
- us-east-1c kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: hub-db-dir
annotations:
volume.alpha.kubernetes.io/storage-class: default
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
storageClassName: standardPlease let me know if I am missing something here.
According to AWS documentation, an EBS volume and the instance to which it attaches must be in the same Availability Zone. (Source)
In that case, the solution is using only one AZ.
Kubernetes itself supports many other storage backends that could be used zone independently, but of course with different properties (like performance, pricing, cloud provider support, ...). For example there is AWS EFS that can be used in any AZ within an AWS region but with its own tradeoffs (e.g. kubernetes-incubator/external-storage#1030).
This is a know issue reported here.