Put Recommendation Preferences
computeoptimizer_put_recommendation_preferences | R Documentation |
Creates a new recommendation preference or updates an existing recommendation preference, such as enhanced infrastructure metrics¶
Description¶
Creates a new recommendation preference or updates an existing recommendation preference, such as enhanced infrastructure metrics.
For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
Usage¶
computeoptimizer_put_recommendation_preferences(resourceType, scope,
enhancedInfrastructureMetrics, inferredWorkloadTypes,
externalMetricsPreference, lookBackPeriod, utilizationPreferences,
preferredResources, savingsEstimationMode)
Arguments¶
resourceType |
[required] The target resource type of the recommendation preference to create. The |
scope |
An object that describes the scope of the recommendation preference to create. You can create recommendation preferences 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. You cannot create recommendation preferences for Auto Scaling groups
at the organization and account levels. You can create recommendation
preferences for Auto Scaling groups only at the resource level by
specifying a scope name of |
enhancedInfrastructureMetrics |
The status of the enhanced infrastructure metrics recommendation preference to create or update. Specify the For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide. |
inferredWorkloadTypes |
The status of the inferred workload types recommendation preference to create or update. The inferred workload type feature is active by default. To deactivate it, create a recommendation preference. Specify the For more information, see Inferred workload types in the Compute Optimizer User Guide. |
externalMetricsPreference |
The provider of the external metrics recommendation preference to create or update. Specify a valid provider in the This preference can only be set for the For more information, see External metrics ingestion in the Compute Optimizer User Guide. |
lookBackPeriod |
The preference to control the number of days the utilization
metrics of the Amazon Web Services resource are analyzed. When this
preference isn't specified, we use the default value
You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.
|
utilizationPreferences |
The preference to control the resource’s CPU utilization threshold, CPU utilization headroom, and memory utilization headroom. When this preference isn't specified, we use the following default values. CPU utilization:
Memory utilization:
|
preferredResources |
The preference to control which resource type values are
considered when generating rightsizing recommendations. You can specify
this preference as a combination of include and exclude lists. You must
specify either an You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types. |
savingsEstimationMode |
The status of the savings estimation mode preference to create or update. Specify the Only the account manager or delegated administrator of your organization can activate this preference. For more information, see Savings estimation mode in the Compute Optimizer User Guide. |
Value¶
An empty list.
Request syntax¶
svc$put_recommendation_preferences(
resourceType = "Ec2Instance"|"AutoScalingGroup"|"EbsVolume"|"LambdaFunction"|"NotApplicable"|"EcsService"|"License"|"RdsDBInstance"|"Idle",
scope = list(
name = "Organization"|"AccountId"|"ResourceArn",
value = "string"
),
enhancedInfrastructureMetrics = "Active"|"Inactive",
inferredWorkloadTypes = "Active"|"Inactive",
externalMetricsPreference = list(
source = "Datadog"|"Dynatrace"|"NewRelic"|"Instana"
),
lookBackPeriod = "DAYS_14"|"DAYS_32"|"DAYS_93",
utilizationPreferences = list(
list(
metricName = "CpuUtilization"|"MemoryUtilization",
metricParameters = list(
threshold = "P90"|"P95"|"P99_5",
headroom = "PERCENT_30"|"PERCENT_20"|"PERCENT_10"|"PERCENT_0"
)
)
),
preferredResources = list(
list(
name = "Ec2InstanceTypes",
includeList = list(
"string"
),
excludeList = list(
"string"
)
)
),
savingsEstimationMode = "AfterDiscounts"|"BeforeDiscounts"
)