Struct aws_sdk_computeoptimizer::types::builders::AutoScalingGroupRecommendationOptionBuilder

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

A builder for AutoScalingGroupRecommendationOption.

Implementations

impl AutoScalingGroupRecommendationOptionBuilder

pub fn configuration(self, input: AutoScalingGroupConfiguration) -> Self

An array of objects that describe an Auto Scaling group configuration.

pub fn set_configuration( self, input: Option<AutoScalingGroupConfiguration> ) -> Self

An array of objects that describe an Auto Scaling group configuration.

pub fn get_configuration(&self) -> &Option<AutoScalingGroupConfiguration>

An array of objects that describe an Auto Scaling group configuration.

pub fn projected_utilization_metrics(self, input: UtilizationMetric) -> 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 Auto Scaling group recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

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

An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

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

An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

pub fn performance_risk(self, input: f64) -> Self

The performance risk of the Auto Scaling group configuration recommendation.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

pub fn set_performance_risk(self, input: Option<f64>) -> Self

The performance risk of the Auto Scaling group configuration recommendation.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

pub fn get_performance_risk(&self) -> &Option<f64>

The performance risk of the Auto Scaling group configuration recommendation.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

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

The rank of the Auto Scaling group recommendation option.

The top recommendation option is ranked as 1.

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

The rank of the Auto Scaling group recommendation option.

The top recommendation option is ranked as 1.

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

The rank of the Auto Scaling group recommendation option.

The top recommendation option is ranked as 1.

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

An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

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

An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

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

An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

pub fn migration_effort(self, input: MigrationEffort) -> Self

The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

pub fn set_migration_effort(self, input: Option<MigrationEffort>) -> Self

The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

pub fn get_migration_effort(&self) -> &Option<MigrationEffort>

The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

pub fn instance_gpu_info(self, input: GpuInfo) -> Self

Describes the GPU accelerator settings for the recommended instance type of the Auto Scaling group.

pub fn set_instance_gpu_info(self, input: Option<GpuInfo>) -> Self

Describes the GPU accelerator settings for the recommended instance type of the Auto Scaling group.

pub fn get_instance_gpu_info(&self) -> &Option<GpuInfo>

Describes the GPU accelerator settings for the recommended instance type of the Auto Scaling group.

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

An object that describes the savings opportunity for the Auto Scaling group recommendation option that includes Savings Plans and Reserved Instances discounts. Savings opportunity includes the estimated monthly savings and percentage.

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

An object that describes the savings opportunity for the Auto Scaling group recommendation option that includes Savings Plans and Reserved Instances discounts. Savings opportunity includes the estimated monthly savings and percentage.

pub fn get_savings_opportunity_after_discounts( &self ) -> &Option<AutoScalingGroupSavingsOpportunityAfterDiscounts>

An object that describes the savings opportunity for the Auto Scaling group recommendation option that includes Savings Plans and Reserved Instances discounts. Savings opportunity includes the estimated monthly savings and percentage.

pub fn build(self) -> AutoScalingGroupRecommendationOption

Consumes the builder and constructs a AutoScalingGroupRecommendationOption.

Trait Implementations

impl Clone for AutoScalingGroupRecommendationOptionBuilder

fn clone(&self) -> AutoScalingGroupRecommendationOptionBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AutoScalingGroupRecommendationOptionBuilder

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

Formats the value using the given formatter.

impl Default for AutoScalingGroupRecommendationOptionBuilder

fn default() -> AutoScalingGroupRecommendationOptionBuilder

Returns the “default value” for a type.

impl PartialEq for AutoScalingGroupRecommendationOptionBuilder

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

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

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

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

impl StructuralPartialEq for AutoScalingGroupRecommendationOptionBuilder