如何使用 Google Cloud 从 Container Registry 部署 VM 映像
How can I deploy VM images from Container Registry using Google Cloud
我可以看到我的 VM 映像在执行命令后 Google Container Registry 中可用:
docker tag sutechnology/transcode eu.gcr.io/supereye/transcode
docker push eu.gcr.io/supereye/transcode
gcloud auth configure-docker docker push eu.gcr.io/supereye/transcode
虽然我可以看到图像,但在 Google Compute Engine 中创建新实例时无法使用此图像。在创建新的 VM 实例时,如何使用我在 Container Registry 中看到的图像?下面是我的完整配置:
machine_type = "zones/europe-west2-b/machineTypes/n1-standard-1"
disk_type = "zones/europe-west2-b/diskTypes/pd-standard"
config = {
'name': name,
'machineType': machine_type,
# Specify the boot disk and the image to use as a source.
'disks': [
{
'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'
]
}],
# 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': 'startup-script',
'value': startup_script,
'VIDEOPATH': videopath
}]
}
}
实例创建函数如下:
compute.instances().insert(
project=project,
zone=zone,
body=config).execute()
Google 容器注册表 (GCR),用于存储 docker 图像,然后用于创建容器 NOT 计算引擎机器。
对于 Compute Engine,使用现有机器的 public 图像或自定义图像快照。
希望对您有所帮助
我可以看到我的 VM 映像在执行命令后 Google Container Registry 中可用:
docker tag sutechnology/transcode eu.gcr.io/supereye/transcode
docker push eu.gcr.io/supereye/transcode
gcloud auth configure-docker docker push eu.gcr.io/supereye/transcode
虽然我可以看到图像,但在 Google Compute Engine 中创建新实例时无法使用此图像。在创建新的 VM 实例时,如何使用我在 Container Registry 中看到的图像?下面是我的完整配置:
machine_type = "zones/europe-west2-b/machineTypes/n1-standard-1"
disk_type = "zones/europe-west2-b/diskTypes/pd-standard"
config = {
'name': name,
'machineType': machine_type,
# Specify the boot disk and the image to use as a source.
'disks': [
{
'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'
]
}],
# 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': 'startup-script',
'value': startup_script,
'VIDEOPATH': videopath
}]
}
}
实例创建函数如下:
compute.instances().insert(
project=project,
zone=zone,
body=config).execute()
Google 容器注册表 (GCR),用于存储 docker 图像,然后用于创建容器 NOT 计算引擎机器。
对于 Compute Engine,使用现有机器的 public 图像或自定义图像快照。
希望对您有所帮助