An NFS server for JupyterHub that runs within your Kubernetes cluster to provide persistent storage for users and a Python module to enforce storage quotas.
- NFS Ganesha is used as the NFS server
- XFS as the filesystem
- xfs_quota through jupyterhub-home-nfs is used to manage storage quotas
JupyterHub Home NFS is installed as a Helm chart.
As a prerequisite, we need to create a volume in the cloud provider to store the home directories. Right now, we only support GKE, EKS and OpenStack. After the volume is created, we need to update the values.yaml file with the volume ID.
Here's an example of a values.yaml file that can be used to install the Helm chart:
gke:
enabled: true
volumeId: projects/example-project/zones/europe-west2-b/disks/hub-nfs-homedirs
quotaEnforcer:
hardQuota: "1" # in GiBHere we are using a GKE volume to store the home directories. We are also enabling the Prometheus exporter to collect disk usage metrics from the NFS server. And enforcing a hard quota of 1GiB per user.
Once we have the values.yaml file, we can install the Helm chart using the following command:
helm upgrade --install --namespace jupyterhub-home-nfs --create-namespace jupyterhub-home-nfs oci://ghcr.io/2i2c-org/jupyterhub-home-nfs/jupyterhub-home-nfs --values values.yamlPlease refer to the values.yaml file for the complete list of configurable parameters.
Once the Helm chart is installed and running, please note the address of the NFS server. You can find the service IP using the command kubectl get svc -n jupyterhub-home-nfs, or use the full DNS name home-nfs.jupyterhub-home-nfs.svc.cluster.local (following the standard Kubernetes format: ..svc.cluster.local)
Once you have the address of the NFS server, you can use it to mount the home directories in your JupyterHub deployment using the example configuration in examples/.
First, we need to create a PersistentVolume and a PersistentVolumeClaim to mount the home directories using the NFS server created by JupyterHub Home NFS. To do this, replace the server field in the nfs section of the PersistentVolume with the address of the NFS server in examples/jupyterhub-nfs-volume.yaml.
nfs:
server: home-nfs.jupyterhub-home-nfs.svc.cluster.localAnd then create the PersistentVolume and the PersistentVolumeClaim using the following command:
kubectl apply -f examples/jupyterhub-nfs-volume.yamlOnce the PersistentVolume and the PersistentVolumeClaim are created, you can use them to mount the home directories in your JupyterHub deployment. For example, we can use examples/jupyterhub-values.yaml to install JupyterHub with the home directories mounted using the NFS server created by JupyterHub Home NFS.
helm upgrade --cleanup-on-fail \
--repo https://hub.jupyter.org/helm-chart/ \
--install home-nfs-jupyterhub jupyterhub \
--namespace jupyterhub-home-nfs \
--values examples/jupyterhub-values.yamlWarning
By default, the NFS server is accessible from within the cluster without any authentication. It is recommended to restrict access to the NFS server by enforcing Network Policies or enabling a client allow list to grant access only through kubelet and not from the pods directly.
Kubernetes Network Policies provide a way to control network traffic between pods and can be used to restrict direct access to the NFS server from user pods while allowing access from the kubelet.
By default, the JupyterHub helm chart blocks access to in-cluster services from single-user pods. So no additional Network Policies are needed to blocks access to the NFS server from the single-user pods of JupyterHub. But not all the cloud providers enforce Network Policies by default.
Important considerations:
- Network Policies require a CNI that supports them (such as Calico, Cilium, or Weave Net)
- The default CNI on some cloud providers like EKS for example do not enforce Network Policies by default.
The documentation of Zero to JupyterHub has a relevant section that can be used as a reference for blocking access to the NFS server from the single-user pods of JupyterHub.
On GKE, Network Policies are enforced by default. So single-user pods are not allowed to access the NFS server directly and no additional action is needed to block access to the NFS server from the single-user pods of JupyterHub.
But for additional security, we can enable a client allow list in the NFS server configuration in the values.yaml file to grant access only from the IP range used by the kubelet agent on the nodes.
On GKE, the IP address used by the kubelet agent on the nodes is the first IP address in the node's podCIDR range. So for example, if the podCIDR range for a node is 10.120.2.0/24, the IP address used by the kubelet agent on the nodes is 10.120.2.1.
We need to find the podCIDR range for the nodes in the cluster. This can be done by running the following command:
kubectl get nodes -o jsonpath='{.items[*].spec.podCIDR}'Once we have the podCIDR range for all the nodes, we can infer the allowedClients value from the podCIDR ranges. For example, if the podCIDR range for the nodes is 10.120.2.0/24, 10.120.3.0/24 and 10.120.4.0/24, the allowedClients value should be 10.120.*.1 where we use the * wildcard to account for all the nodes and the .1 is the first IP address in the podCIDR range.
nfsServer:
enableClientAllowlist: true
allowedClients:
- "10.120.*.1"On EKS, the default CNI - Amazon VPC CNI, does not enforce Network Policies. And by default Amazon VPC CNI assigns IPs to pods from the same subnet as the nodes. So there is no way to define a separate CIDR block or pattern to allow access only from the kubelet using a client allow list.
Network Policy Approach: Since Amazon VPC CNI does not support enforcing Network Policies on the pods not managed by a deployment, you need to use an alternative CNI like Calico. Note that Calico can be configured to use Amazon VPC CNI as the underlying network provider and it can be configured to enforce Network Policies on the pods not managed by a deployment.
IPTables Alternative: Alternatively, you can use iptables to restrict access to the NFS server. Here's an example of an init container that can be added to the pod definition to restrict access to the NFS server:
initContainers:
- name: block-nfs-access
command:
- /bin/sh
- -c
- |
iptables --append OUTPUT --protocol tcp --destination-port 2049 --jump DROP \
&& iptables --append OUTPUT --protocol tcp --destination-port 20048 --jump DROP \
&& iptables --append OUTPUT --protocol tcp --destination-port 111 --jump DROP \
&& iptables --append OUTPUT --protocol udp --destination-port 2049 --jump DROP \
&& iptables --append OUTPUT --protocol udp --destination-port 20048 --jump DROP \
&& iptables --append OUTPUT --protocol udp --destination-port 111 --jump DROP
image: quay.io/jupyterhub/k8s-network-tools:4.1.0
securityContext:
capabilities:
add:
- NET_ADMIN
privileged: true
runAsUser: 0- Docker
- Docker Compose
Note
On Mac, Docker Desktop might not support mounting loopback devices as XFS filesystems. If you are on Mac, consider using an alternative implementation like colima.
For development, we use a loopback device and mount it as an XFS filesystem inside the container.
Run the following command to start the development container:
docker compose up --build appThis will start the development container, mount a loopback device as an XFS filesystem at /mnt/docker-test-xfs.
Once the container is running, we can run the following command to get a shell into the container:
docker compose exec -it app bashOnce we have a shell into the container, we can run python -m jupyterhub_home_nfs.generate with the appropriate arguments to enforce storage quotas on the XFS filesystem.
It's recommended to run the tests in the development container rather than your local machine.
You can run the tests with the following command:
docker compose --profile test up --build testThis will start the test container, mount a loopback device as an XFS filesystem and run the tests.