Struct aws_sdk_computeoptimizer::input::PutRecommendationPreferencesInput

#[non_exhaustive]
pub struct PutRecommendationPreferencesInput {
    pub resource_type: Option<ResourceType>,
    pub scope: Option<Scope>,
    pub enhanced_infrastructure_metrics: Option<EnhancedInfrastructureMetrics>,
    pub inferred_workload_types: Option<InferredWorkloadTypesPreference>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

resource_type: Option<ResourceType>

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. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.

scope: Option<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 ResourceArn and a scope value of the Auto Scaling group Amazon Resource Name (ARN). This will configure the preference for all instances that are part of the specified Auto Scaling group. You also cannot create recommendation preferences at the resource level for instances that are part of an Auto Scaling group. You can create recommendation preferences at the resource level only for standalone instances.

enhanced_infrastructure_metrics: Option<EnhancedInfrastructureMetrics>

The status of the enhanced infrastructure metrics recommendation preference to create or update.

Specify the Active status to activate the preference, or specify Inactive to deactivate the preference.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

inferred_workload_types: Option<InferredWorkloadTypesPreference>

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 Inactive status to deactivate the feature, or specify Active to activate it.

For more information, see Inferred workload types in the Compute Optimizer User Guide.

Implementations

impl PutRecommendationPreferencesInput

pub async fn make_operation(
    &self,
    _config: &Config
) -> Result<Operation<PutRecommendationPreferences, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<PutRecommendationPreferences>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture PutRecommendationPreferencesInput

impl PutRecommendationPreferencesInput

pub fn resource_type(&self) -> Option<&ResourceType>

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. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.

pub fn scope(&self) -> Option<&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 ResourceArn and a scope value of the Auto Scaling group Amazon Resource Name (ARN). This will configure the preference for all instances that are part of the specified Auto Scaling group. You also cannot create recommendation preferences at the resource level for instances that are part of an Auto Scaling group. You can create recommendation preferences at the resource level only for standalone instances.

pub fn enhanced_infrastructure_metrics(
    &self
) -> Option<&EnhancedInfrastructureMetrics>

The status of the enhanced infrastructure metrics recommendation preference to create or update.

Specify the Active status to activate the preference, or specify Inactive to deactivate the preference.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

pub fn inferred_workload_types(
    &self
) -> Option<&InferredWorkloadTypesPreference>

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 Inactive status to deactivate the feature, or specify Active to activate it.

For more information, see Inferred workload types in the Compute Optimizer User Guide.

Trait Implementations

impl Clone for PutRecommendationPreferencesInput

fn clone(&self) -> PutRecommendationPreferencesInput

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for PutRecommendationPreferencesInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<PutRecommendationPreferencesInput> for PutRecommendationPreferencesInput

fn eq(&self, other: &PutRecommendationPreferencesInput) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &PutRecommendationPreferencesInput) -> bool

This method tests for !=.

impl StructuralPartialEq for PutRecommendationPreferencesInput