Struct EcsServiceRecommendationOptionBuilder

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

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pub fn memory(self, input: i32) -> Self

The memory size of the Amazon ECS service recommendation option.

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pub fn set_memory(self, input: Option<i32>) -> Self

The memory size of the Amazon ECS service recommendation option.

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pub fn get_memory(&self) -> &Option<i32>

The memory size of the Amazon ECS service recommendation option.

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pub fn cpu(self, input: i32) -> Self

The CPU size of the Amazon ECS service recommendation option.

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pub fn set_cpu(self, input: Option<i32>) -> Self

The CPU size of the Amazon ECS service recommendation option.

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pub fn get_cpu(&self) -> &Option<i32>

The CPU size of the Amazon ECS service recommendation option.

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pub fn savings_opportunity(self, input: SavingsOpportunity) -> Self

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

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pub fn set_savings_opportunity(self, input: Option<SavingsOpportunity>) -> Self

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

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pub fn get_savings_opportunity(&self) -> &Option<SavingsOpportunity>

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

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pub fn savings_opportunity_after_discounts( self, input: EcsSavingsOpportunityAfterDiscounts, ) -> Self

Describes the savings opportunity for Amazon ECS service recommendations or for the recommendation option.

Savings opportunity represents the estimated monthly savings after applying Savings Plans discounts. You can achieve this by implementing a given Compute Optimizer recommendation.

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pub fn set_savings_opportunity_after_discounts( self, input: Option<EcsSavingsOpportunityAfterDiscounts>, ) -> Self

Describes the savings opportunity for Amazon ECS service recommendations or for the recommendation option.

Savings opportunity represents the estimated monthly savings after applying Savings Plans discounts. You can achieve this by implementing a given Compute Optimizer recommendation.

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pub fn get_savings_opportunity_after_discounts( &self, ) -> &Option<EcsSavingsOpportunityAfterDiscounts>

Describes the savings opportunity for Amazon ECS service recommendations or for the recommendation option.

Savings opportunity represents the estimated monthly savings after applying Savings Plans discounts. You can achieve this by implementing a given Compute Optimizer recommendation.

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pub fn projected_utilization_metrics( self, input: EcsServiceProjectedUtilizationMetric, ) -> Self

Appends an item to projected_utilization_metrics.

To override the contents of this collection use set_projected_utilization_metrics.

An array of objects that describe the projected utilization metrics of the Amazon ECS service recommendation option.

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pub fn set_projected_utilization_metrics( self, input: Option<Vec<EcsServiceProjectedUtilizationMetric>>, ) -> Self

An array of objects that describe the projected utilization metrics of the Amazon ECS service recommendation option.

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pub fn get_projected_utilization_metrics( &self, ) -> &Option<Vec<EcsServiceProjectedUtilizationMetric>>

An array of objects that describe the projected utilization metrics of the Amazon ECS service recommendation option.

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pub fn container_recommendations(self, input: ContainerRecommendation) -> Self

Appends an item to container_recommendations.

To override the contents of this collection use set_container_recommendations.

The CPU and memory size recommendations for the containers within the task of your Amazon ECS service.

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pub fn set_container_recommendations( self, input: Option<Vec<ContainerRecommendation>>, ) -> Self

The CPU and memory size recommendations for the containers within the task of your Amazon ECS service.

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pub fn get_container_recommendations( &self, ) -> &Option<Vec<ContainerRecommendation>>

The CPU and memory size recommendations for the containers within the task of your Amazon ECS service.

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pub fn build(self) -> EcsServiceRecommendationOption

Consumes the builder and constructs a EcsServiceRecommendationOption.

Trait Implementations§

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impl Clone for EcsServiceRecommendationOptionBuilder

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fn clone(&self) -> EcsServiceRecommendationOptionBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for EcsServiceRecommendationOptionBuilder

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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 EcsServiceRecommendationOptionBuilder

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fn default() -> EcsServiceRecommendationOptionBuilder

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

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

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

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