aws_sdk_computeoptimizer::operation::put_recommendation_preferences::builders

Struct PutRecommendationPreferencesInputBuilder

#[non_exhaustive]
pub struct PutRecommendationPreferencesInputBuilder { /* private fields */ }

Expand description

A builder for PutRecommendationPreferencesInput.

Implementations§

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impl PutRecommendationPreferencesInputBuilder

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pub fn resource_type(self, input: ResourceType) -> Self

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.

This field is required.

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pub fn set_resource_type(self, input: Option<ResourceType>) -> Self

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.

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pub fn get_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.

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pub fn scope(self, input: Scope) -> Self

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.

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pub fn set_scope(self, input: Option<Scope>) -> Self

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.

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pub fn get_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.

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pub fn enhanced_infrastructure_metrics( self, input: EnhancedInfrastructureMetrics, ) -> Self

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.

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pub fn set_enhanced_infrastructure_metrics( self, input: Option<EnhancedInfrastructureMetrics>, ) -> Self

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.

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pub fn get_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.

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pub fn inferred_workload_types( self, input: InferredWorkloadTypesPreference, ) -> Self

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.

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pub fn set_inferred_workload_types( self, input: Option<InferredWorkloadTypesPreference>, ) -> Self

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.

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pub fn get_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.

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pub fn external_metrics_preference( self, input: ExternalMetricsPreference, ) -> Self

The provider of the external metrics recommendation preference to create or update.

Specify a valid provider in the source field to activate the preference. To delete this preference, see the DeleteRecommendationPreferences action.

This preference can only be set for the Ec2Instance resource type.

For more information, see External metrics ingestion in the Compute Optimizer User Guide.

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pub fn set_external_metrics_preference( self, input: Option<ExternalMetricsPreference>, ) -> Self

The provider of the external metrics recommendation preference to create or update.

Specify a valid provider in the source field to activate the preference. To delete this preference, see the DeleteRecommendationPreferences action.

This preference can only be set for the Ec2Instance resource type.

For more information, see External metrics ingestion in the Compute Optimizer User Guide.

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pub fn get_external_metrics_preference( &self, ) -> &Option<ExternalMetricsPreference>

The provider of the external metrics recommendation preference to create or update.

Specify a valid provider in the source field to activate the preference. To delete this preference, see the DeleteRecommendationPreferences action.

This preference can only be set for the Ec2Instance resource type.

For more information, see External metrics ingestion in the Compute Optimizer User Guide.

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pub fn look_back_period(self, input: LookBackPeriodPreference) -> Self

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 DAYS_14.

You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.

Amazon EC2 instance lookback preferences can be set at the organization, account, and resource levels.
Auto Scaling group lookback preferences can only be set at the resource level.

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pub fn set_look_back_period( self, input: Option<LookBackPeriodPreference>, ) -> Self

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 DAYS_14.

You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.

Amazon EC2 instance lookback preferences can be set at the organization, account, and resource levels.
Auto Scaling group lookback preferences can only be set at the resource level.

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pub fn get_look_back_period(&self) -> &Option<LookBackPeriodPreference>

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 DAYS_14.

You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.

Amazon EC2 instance lookback preferences can be set at the organization, account, and resource levels.
Auto Scaling group lookback preferences can only be set at the resource level.

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pub fn utilization_preferences(self, input: UtilizationPreference) -> Self

Appends an item to utilization_preferences.

To override the contents of this collection use set_utilization_preferences.

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:

P99_5 for threshold
PERCENT_20 for headroom

Memory utilization:

PERCENT_20 for headroom

You can only set CPU and memory utilization preferences for the Amazon EC2 instance resource type.
The threshold setting isn’t available for memory utilization.

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pub fn set_utilization_preferences( self, input: Option<Vec<UtilizationPreference>>, ) -> Self

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:

P99_5 for threshold
PERCENT_20 for headroom

Memory utilization:

PERCENT_20 for headroom

You can only set CPU and memory utilization preferences for the Amazon EC2 instance resource type.
The threshold setting isn’t available for memory utilization.

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pub fn get_utilization_preferences(&self) -> &Option<Vec<UtilizationPreference>>

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:

P99_5 for threshold
PERCENT_20 for headroom

Memory utilization:

PERCENT_20 for headroom

You can only set CPU and memory utilization preferences for the Amazon EC2 instance resource type.
The threshold setting isn’t available for memory utilization.

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pub fn preferred_resources(self, input: PreferredResource) -> Self

Appends an item to preferred_resources.

To override the contents of this collection use set_preferred_resources.

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 includeList or excludeList. If the preference is an empty set of resource type values, an error occurs.

You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.

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pub fn set_preferred_resources( self, input: Option<Vec<PreferredResource>>, ) -> Self

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 includeList or excludeList. If the preference is an empty set of resource type values, an error occurs.

You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.

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pub fn get_preferred_resources(&self) -> &Option<Vec<PreferredResource>>

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 includeList or excludeList. If the preference is an empty set of resource type values, an error occurs.

You can only set this preference for the Amazon EC2 instance and Auto Scaling group resource types.

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pub fn savings_estimation_mode(self, input: SavingsEstimationMode) -> Self

The status of the savings estimation mode preference to create or update.

Specify the AfterDiscounts status to activate the preference, or specify BeforeDiscounts to deactivate the preference.

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.

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pub fn set_savings_estimation_mode( self, input: Option<SavingsEstimationMode>, ) -> Self

The status of the savings estimation mode preference to create or update.

Specify the AfterDiscounts status to activate the preference, or specify BeforeDiscounts to deactivate the preference.

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.

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pub fn get_savings_estimation_mode(&self) -> &Option<SavingsEstimationMode>

The status of the savings estimation mode preference to create or update.

Specify the AfterDiscounts status to activate the preference, or specify BeforeDiscounts to deactivate the preference.

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.

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pub fn build(self) -> Result<PutRecommendationPreferencesInput, BuildError>

Consumes the builder and constructs a PutRecommendationPreferencesInput.

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impl PutRecommendationPreferencesInputBuilder

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pub async fn send_with( self, client: &Client, ) -> Result<PutRecommendationPreferencesOutput, SdkError<PutRecommendationPreferencesError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for PutRecommendationPreferencesInputBuilder

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fn clone(&self) -> PutRecommendationPreferencesInputBuilder

Returns a duplicate of the value. Read more

1.0.0 · Source§

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

Performs copy-assignment from source. Read more

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impl Debug for PutRecommendationPreferencesInputBuilder

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

Formats the value using the given formatter. Read more

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impl Default for PutRecommendationPreferencesInputBuilder

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fn default() -> PutRecommendationPreferencesInputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for PutRecommendationPreferencesInputBuilder

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

Tests for self and other values to be equal, and is used by ==.

1.0.0 · Source§

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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impl StructuralPartialEq for PutRecommendationPreferencesInputBuilder

Auto Trait Implementations§

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impl UnwindSafe for PutRecommendationPreferencesInputBuilder

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PutRecommendationPreferencesInputBuilder

Struct PutRecommendationPreferencesInputBuilder Copy item path

Implementations§

impl PutRecommendationPreferencesInputBuilder

pub fn resource_type(self, input: ResourceType) -> Self

pub fn set_resource_type(self, input: Option<ResourceType>) -> Self

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

pub fn scope(self, input: Scope) -> Self

pub fn set_scope(self, input: Option<Scope>) -> Self

pub fn get_scope(&self) -> &Option<Scope>

pub fn enhanced_infrastructure_metrics( self, input: EnhancedInfrastructureMetrics, ) -> Self

pub fn set_enhanced_infrastructure_metrics( self, input: Option<EnhancedInfrastructureMetrics>, ) -> Self

pub fn get_enhanced_infrastructure_metrics( &self, ) -> &Option<EnhancedInfrastructureMetrics>

pub fn inferred_workload_types( self, input: InferredWorkloadTypesPreference, ) -> Self

pub fn set_inferred_workload_types( self, input: Option<InferredWorkloadTypesPreference>, ) -> Self

pub fn get_inferred_workload_types( &self, ) -> &Option<InferredWorkloadTypesPreference>

pub fn external_metrics_preference( self, input: ExternalMetricsPreference, ) -> Self

pub fn set_external_metrics_preference( self, input: Option<ExternalMetricsPreference>, ) -> Self

pub fn get_external_metrics_preference( &self, ) -> &Option<ExternalMetricsPreference>

pub fn look_back_period(self, input: LookBackPeriodPreference) -> Self

pub fn set_look_back_period( self, input: Option<LookBackPeriodPreference>, ) -> Self

pub fn get_look_back_period(&self) -> &Option<LookBackPeriodPreference>

pub fn utilization_preferences(self, input: UtilizationPreference) -> Self

pub fn set_utilization_preferences( self, input: Option<Vec<UtilizationPreference>>, ) -> Self

pub fn get_utilization_preferences(&self) -> &Option<Vec<UtilizationPreference>>

pub fn preferred_resources(self, input: PreferredResource) -> Self

pub fn set_preferred_resources( self, input: Option<Vec<PreferredResource>>, ) -> Self

pub fn get_preferred_resources(&self) -> &Option<Vec<PreferredResource>>

pub fn savings_estimation_mode(self, input: SavingsEstimationMode) -> Self

pub fn set_savings_estimation_mode( self, input: Option<SavingsEstimationMode>, ) -> Self

pub fn get_savings_estimation_mode(&self) -> &Option<SavingsEstimationMode>

pub fn build(self) -> Result<PutRecommendationPreferencesInput, BuildError>

impl PutRecommendationPreferencesInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<PutRecommendationPreferencesOutput, SdkError<PutRecommendationPreferencesError, HttpResponse>>

Trait Implementations§

impl Clone for PutRecommendationPreferencesInputBuilder

fn clone(&self) -> PutRecommendationPreferencesInputBuilder

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

impl Debug for PutRecommendationPreferencesInputBuilder

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

impl Default for PutRecommendationPreferencesInputBuilder

fn default() -> PutRecommendationPreferencesInputBuilder

impl PartialEq for PutRecommendationPreferencesInputBuilder

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

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

impl StructuralPartialEq for PutRecommendationPreferencesInputBuilder

Auto Trait Implementations§

impl Freeze for PutRecommendationPreferencesInputBuilder

impl RefUnwindSafe for PutRecommendationPreferencesInputBuilder

impl Send for PutRecommendationPreferencesInputBuilder

impl Sync for PutRecommendationPreferencesInputBuilder

impl Unpin for PutRecommendationPreferencesInputBuilder

impl UnwindSafe for PutRecommendationPreferencesInputBuilder

Blanket Implementations§

impl<T> Any for Twhere T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> CloneToUninit for Twhere T: Clone,

unsafe fn clone_to_uninit(&self, dest: *mut u8)

impl<T> From<T> for T

fn from(t: T) -> T

impl<T> Instrument for T

fn instrument(self, span: Span) -> Instrumented<Self>

fn in_current_span(self) -> Instrumented<Self>

impl<T, U> Into<U> for Twhere U: From<T>,

fn into(self) -> U

impl<T> IntoEither for T

fn into_either(self, into_left: bool) -> Either<Self, Self>

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unsharedwhere Shared: FromUnshared<Unshared>,

fn into_shared(self) -> Shared

impl<T> Paint for Twhere T: ?Sized,

fn fg(&self, value: Color) -> Painted<&T>

§Example

fn primary(&self) -> Painted<&T>

§Example

fn fixed(&self, color: u8) -> Painted<&T>

Struct PutRecommendationPreferencesInputBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,