aws ec2 create-store-image-task
Stores an AMI as a single object in an S3 bucket. To use this API, you must have the required permissions. For more information, see Permissions for storing and restoring AMIs using S3 in the Amazon Elastic Compute Cloud User Guide. For more information, see Store and restore an AMI using S3 in the Amazon Elastic Compute Cloud User Guide
Options
| Name | Description |
|---|---|
--image-id <string> | The ID of the AMI |
--bucket <string> | The name of the S3 bucket in which the AMI object will be stored. The bucket must be in the Region in which the request is being made. The AMI object appears in the bucket only after the upload task has completed |
--s3-object-tags <list> | The tags to apply to the AMI object that will be stored in the S3 bucket |
--dry-run | Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is DryRunOperation. Otherwise, it is UnauthorizedOperation |
--no-dry-run | Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is DryRunOperation. Otherwise, it is UnauthorizedOperation |
--cli-input-json <string> | Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally |
--generate-cli-skeleton <string> | Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command |