You can use the following Deloyment Manager template to deploy the worker machines that you need for your {product-title} cluster:
06_worker.py
Deployment Manager templatedef GenerateConfig(context):
resources = [{
'name': context.properties['infra_id'] + '-' + context.env['name'],
'type': 'compute.v1.instance',
'properties': {
'disks': [{
'autoDelete': True,
'boot': True,
'initializeParams': {
'diskSizeGb': context.properties['root_volume_size'],
'sourceImage': context.properties['image']
}
}],
'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'],
'metadata': {
'items': [{
'key': 'user-data',
'value': context.properties['ignition']
}]
},
'networkInterfaces': [{
'subnetwork': context.properties['compute_subnet']
}],
'serviceAccounts': [{
'email': context.properties['service_account_email'],
'scopes': ['https://www.googleapis.com/auth/cloud-platform']
}],
'tags': {
'items': [
context.properties['infra_id'] + '-worker',
]
},
'zone': context.properties['zone']
}
}]
return {'resources': resources}