[ aws . cloudfront ]

associate-alias

Description

Associates an alias (also known as a CNAME or an alternate domain name) with a CloudFront distribution.

With this operation you can move an alias that’s already in use on a CloudFront distribution to a different distribution in one step. This prevents the downtime that could occur if you first remove the alias from one distribution and then separately add the alias to another distribution.

To use this operation to associate an alias with a distribution, you provide the alias and the ID of the target distribution for the alias. For more information, including how to set up the target distribution, prerequisites that you must complete, and other restrictions, see Moving an alternate domain name to a different distribution in the Amazon CloudFront Developer Guide .

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  associate-alias
--target-distribution-id <value>
--alias <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--target-distribution-id (string)

The ID of the distribution that you’re associating the alias with.

--alias (string)

The alias (also known as a CNAME) to add to the target distribution.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml.

--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. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

None