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_SRC}/deployment/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_SRC}/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
Apply the changes:
cd ${KFAPP}
${KUBEFLOW_SRC}/scripts/kfctl.sh apply k8s