Using Cloud Filestore

This guide describes how to set up and use Cloud Filestore with Kubeflow on Google Cloud Platform (GCP).

About Cloud Filestore

Cloud File Store is a fully managed NFS offering. Cloud Filestore is very useful for creating a shared filesystem that can be mounted into pods such as Jupyter.

Before you start

This guide assumes you have already set up Kubeflow on GCP. If you haven’t done so, follow the guide to getting started with Kubeflow on Kubernetes Engine.

Create a Cloud Filestore instance

Follow these instructions to create a Cloud Filestore instance; if you already have a Cloud Filestore instance you want to use you can skip this section.

Copy the Cloud Filestore deployment manager configs to the gcp_config directory:

cp ${KUBEFLOW_REPO}/scripts/gke/deployment_manager_configs/gcfs.yaml \
   ${KFAPP}/gcp_config/

Edit gcfs.yaml to match your desired configuration:

Set zone
Set name
Set the value of parent to include your project e.g.
```
projects/${PROJECT}/locations/${ZONE}
```

Using yq:

cd ${KFAPP}
. env.sh
yq -r ".resources[0].properties.instanceId=\"${DEPLOYMENT_NAME}\"" ${KFAPP}/gcp_config/gcfs.yaml > ${KFAPP}/gcp_config/gcfs.yaml.new
mv ${KFAPP}/gcp_config/gcfs.yaml.new ${KFAPP}/gcp_config/gcfs.yaml

Apply the changes:

cd ${KFAPP}
${KUBEFLOW_REPO}/scripts/kfctl.sh apply platform

If you get an error legacy networks are not supported follow the instructions in the troubleshooting guide.

Configure Kubeflow to mount the Cloud Filestore volume

Configure Kubeflow to mount Cloud Filestore as a volume:

cd ${KFAPP}/ks_app
ks generate google-cloud-filestore-pv google-cloud-filestore-pv --name="kubeflow-gcfs" \
   --storageCapacity="${GCFS_STORAGE}" \
   --serverIP="${GCFS_INSTANCE_IP_ADDRESS}"
ks param set jupyterhub disks "kubeflow-gcfs"

GCFS_STORAGE The size of the Cloud Filestore persistent volume claim
GCFS_INSTANCE_IP_ADDRESS The ip address of your Cloud Filestore instance; you can obtain this with gcloud:
```
gcloud --project=${PROJECT} beta filestore instances list
```