[ aws . compute-optimizer ]
Returns existing recommendation preferences, such as enhanced infrastructure metrics.
Use the scope
parameter to specify which preferences to return. You can specify to return preferences for an organization, a specific account ID, or a specific EC2 instance or Auto Scaling group Amazon Resource Name (ARN).
For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide .
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
get-recommendation-preferences
--resource-type <value>
[--scope <value>]
[--next-token <value>]
[--max-results <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--resource-type
(string)
The target resource type of the recommendation preference for which to return preferences.
The
Ec2Instance
option encompasses standalone instances and instances that are part of Auto Scaling groups. TheAutoScalingGroup
option encompasses only instances that are part of an Auto Scaling group.Possible values:
Ec2Instance
AutoScalingGroup
EbsVolume
LambdaFunction
NotApplicable
--scope
(structure)
An object that describes the scope of the recommendation preference to return.
You can return recommendation preferences that are created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide .
name -> (string)
The name of the scope.
The following scopes are possible:
Organization
- Specifies that the recommendation preference applies at the organization level, for all member accounts of an organization.
AccountId
- Specifies that the recommendation preference applies at the account level, for all resources of a given resource type in an account.
ResourceArn
- Specifies that the recommendation preference applies at the individual resource level.value -> (string)
The value of the scope.
If you specified the
name
of the scope as:
Organization
- Thevalue
must beALL_ACCOUNTS
.
AccountId
- Thevalue
must be a 12-digit Amazon Web Services account ID.
ResourceArn
- Thevalue
must be the Amazon Resource Name (ARN) of an EC2 instance or an Auto Scaling group.Only EC2 instance and Auto Scaling group ARNs are currently supported.
Shorthand Syntax:
name=string,value=string
JSON Syntax:
{
"name": "Organization"|"AccountId"|"ResourceArn",
"value": "string"
}
--next-token
(string)
The token to advance to the next page of recommendation preferences.
--max-results
(integer)
The maximum number of recommendation preferences to return with a single request.
To retrieve the remaining results, make another request with the returned
nextToken
value.
--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.
nextToken -> (string)
The token to use to advance to the next page of recommendation preferences.
This value is null when there are no more pages of recommendation preferences to return.
recommendationPreferencesDetails -> (list)
An array of objects that describe recommendation preferences.
(structure)
Describes a recommendation preference.
scope -> (structure)
An object that describes the scope of the recommendation preference.
Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide .
name -> (string)
The name of the scope.
The following scopes are possible:
Organization
- Specifies that the recommendation preference applies at the organization level, for all member accounts of an organization.
AccountId
- Specifies that the recommendation preference applies at the account level, for all resources of a given resource type in an account.
ResourceArn
- Specifies that the recommendation preference applies at the individual resource level.value -> (string)
The value of the scope.
If you specified the
name
of the scope as:
Organization
- Thevalue
must beALL_ACCOUNTS
.
AccountId
- Thevalue
must be a 12-digit Amazon Web Services account ID.
ResourceArn
- Thevalue
must be the Amazon Resource Name (ARN) of an EC2 instance or an Auto Scaling group.Only EC2 instance and Auto Scaling group ARNs are currently supported.
resourceType -> (string)
The target resource type of the recommendation preference to create.
The
Ec2Instance
option encompasses standalone instances and instances that are part of Auto Scaling groups. TheAutoScalingGroup
option encompasses only instances that are part of an Auto Scaling group.enhancedInfrastructureMetrics -> (string)
The status of the enhanced infrastructure metrics recommendation preference.
A status of
Active
confirms that the preference is applied in the latest recommendation refresh, and a status ofInactive
confirms that it’s not yet applied to recommendations.For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide .
inferredWorkloadTypes -> (string)
The status of the inferred workload types recommendation preference.
A status of
Active
confirms that the preference is applied in the latest recommendation refresh. A status ofInactive
confirms that it’s not yet applied to recommendations.