I'm trying to create a Jupyter notebook on AI platform (https://cloud.google.com/ai-platform/notebooks/docs/create-new) using devops pipeline and for that i need gcloud command to create a Jupyter notebook but i couldn't find out on GCP documentation. can some one help here?
The command not yet exists. You can create a datalab VM if you want. If you really want to use the notebook out of datalab environment, I dug into it.
In my browser, I activated the developer mode, I went to network section and I created a notebook instance. I caught this in the post HTTP post
URL:
https://clients6.google.com/compute/v1/projects/gbl-imt-homerider-basguillaueb/zones/us-west1-b/instances?key=<API KEY>
Post Content:
{
"name": "tensorflow-20190925-144402",
"machineType": "zones/us-west1-b/machineTypes/n1-standard-4",
"guestAccelerators": [],
"metadata": {
"items": [
{
"key": "proxy-mode",
"value": "service_account"
}
]
},
"disks": [
{
"boot": true,
"autoDelete": true,
"initializeParams": {
"diskType": "zones/us-west1-b/diskTypes/pd-standard",
"diskSizeGb": "100",
"sourceImage": "projects/deeplearning-platform-release/global/images/family/tf-1-14-cu100-notebooks"
}
}
],
"scheduling": {
"onHostMaintenance": "TERMINATE"
},
"networkInterfaces": [
{
"subnetwork": "https://www.googleapis.com/compute/v1/projects/gbl-imt-homerider-basguillaueb/regions/us-west1/subnetworks/datalab-network",
"accessConfigs": [
{
"name": "external-nat",
"type": "ONE_TO_ONE_NAT"
}
]
}
],
"serviceAccounts": [
{
"email": "default",
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/userinfo.email"
]
}
],
"tags": {
"items": [
"deeplearning-vm"
]
}
}
I translated this in a gcloud
command line. Only the NAT part isn't present, I don't know the impact and how to do this in command line
gcloud beta compute instances create test --zone=us-west1-b --machine-type="n1-standard-4" \
--boot-disk-type="pd-standard" --boot-disk-size=100 \
--image="projects/deeplearning-platform-release/global/images/family/tf-1-14-cu100-notebooks" \
--metadata="proxy-mode=service_account" --tags=deeplearning-vm --boot-disk-auto-delete \
--maintenance-policy=TERMINATE --scopes="https://www.googleapis.com/auth/cloud-platform","https://www.googleapis.com/auth/userinfo.email"
I tested the deployment, it works and the VM appears in the notebook section. I hope this help.