I am attempting to run a simple daily batch script that can run for some hours, after which it will send the data it generated and shut down the instance. To achieve that, I have put the following into user-data
:
users:
- name: cloudservice
uid: 2000
runcmd:
- sudo HOME=/home/root docker-credential-gcr configure-docker
- |
sudo HOME=/home/root docker run \
--rm -u 2000 --name={service_name} {image_name} {command}
- shutdown
final_message: "machine took $UPTIME seconds to start"
I am creating the instance using a python script to generate the configuration for the API like so:
def build_machine_configuration(
compute, name: str, project: str, zone: str, image: str
) -> Dict:
image_response = (
compute.images()
.getFromFamily(project="cos-cloud", family="cos-stable")
.execute()
)
source_disk_image = image_response["selfLink"]
machine_type = f"zones/{zone}/machineTypes/n1-standard-1"
# returns the cloud init from above
cloud_config = build_cloud_config(image)
config = {
"name": f"{name}",
"machineType": machine_type,
# Specify the boot disk and the image to use as a source.
"disks": [
{
"type": "PERSISTENT",
"boot": True,
"autoDelete": True,
"initializeParams": {"sourceImage": source_disk_image},
}
],
# Specify a network interface with NAT to access the public
# internet.
"networkInterfaces": [
{
"network": "global/networks/default",
"accessConfigs": [{"type": "ONE_TO_ONE_NAT", "name": "External NAT"}],
}
],
# Allow the instance to access cloud storage and logging.
"serviceAccounts": [
{
"email": "default",
"scopes": [
"https://www.googleapis.com/auth/devstorage.read_write",
"https://www.googleapis.com/auth/logging.write",
"https://www.googleapis.com/auth/datastore",
"https://www.googleapis.com/auth/bigquery",
],
}
],
# Metadata is readable from the instance and allows you to
# pass configuration from deployment scripts to instances.
"metadata": {
"items": [
{
# Startup script is automatically executed by the
# instance upon startup.
"key": "user-data",
"value": cloud_config,
},
{"key": "google-monitoring-enabled", "value": True},
]
},
}
return config
I am however running out of disk space inside the docker engine.
Any ideas on how to increase the size of the volume available to docker services?