要从跨账号的ECR仓库中拉取镜像,你需要完成以下步骤:
配置跨账号访问权限:
{
"Sid": "AllowCrossAccountAccess",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::目标账号ID:user/目标账号的IAM用户"
},
"Action": [
"ecr:GetAuthorizationToken",
"ecr:BatchCheckLayerAvailability",
"ecr:GetDownloadUrlForLayer",
"ecr:GetRepositoryPolicy",
"ecr:DescribeRepositories",
"ecr:ListImages",
"ecr:BatchGetImage"
]
}
配置Fargate任务定义:
containerDefinitions
部分,确保你指定了正确的目标账号的ECR仓库URI,例如:"containerDefinitions": [
{
"name": "your-container-name",
"image": "目标账号ID.dkr.ecr.区域.amazonaws.com/仓库名称:镜像标签",
...
}
]
启动Fargate任务:
以下是一个使用Python的Boto3 SDK示例,用于从跨账号的ECR仓库中拉取镜像:
import boto3
def pull_image_from_cross_account_ecr(source_account_id, target_account_id, region, source_ecr_repository, image_tag):
# 创建临时凭证
sts_client = boto3.client('sts')
assume_role_response = sts_client.assume_role(
RoleArn=f'arn:aws:iam::{source_account_id}:role/YourCrossAccountRole',
RoleSessionName='CrossAccountSession'
)
credentials = assume_role_response['Credentials']
# 创建ECR客户端
ecr_client = boto3.client(
'ecr',
region_name=region,
aws_access_key_id=credentials['AccessKeyId'],
aws_secret_access_key=credentials['SecretAccessKey'],
aws_session_token=credentials['SessionToken']
)
# 获取临时凭证的ECR登录令牌
authorization_token = ecr_client.get_authorization_token()
token = authorization_token['authorizationData'][0]['authorizationToken']
username, password = base64.b64decode(token).decode().split(':')
# 通过Docker客户端拉取镜像
docker_client = docker.from_env()
docker_client.login(username, password, registry=f'{target_account_id}.dkr.ecr.{region}.amazonaws.com')
docker_client.pull(f'{source_account_id}.dkr.ecr.{region}.amazonaws.com/{source_ecr_repository}:{image_tag}')
在此示例中,你需要将source_account_id
替换为源账号的ID,target_account_id
替换为目标账号的ID,region
替换为你的区域,source_ecr_repository
替换为源账号的ECR仓库名称,image_tag
替换为要拉取的镜像标签。
请注意,你需要安装并导入必要的Python库,如boto3
和docker
,并正确配置AWS CLI以便访问AWS服务。