AutoScalingGroupRecommendation

Struct AutoScalingGroupRecommendation 

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pub struct AutoScalingGroupRecommendation {
    pub account_id: Option<String>,
    pub auto_scaling_group_arn: Option<String>,
    pub auto_scaling_group_name: Option<String>,
    pub current_configuration: Option<AutoScalingGroupConfiguration>,
    pub finding: Option<String>,
    pub last_refresh_timestamp: Option<f64>,
    pub look_back_period_in_days: Option<f64>,
    pub recommendation_options: Option<Vec<AutoScalingGroupRecommendationOption>>,
    pub utilization_metrics: Option<Vec<UtilizationMetric>>,
}
Expand description

Describes an Auto Scaling group recommendation.

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§account_id: Option<String>

The AWS account ID of the Auto Scaling group.

§auto_scaling_group_arn: Option<String>

The Amazon Resource Name (ARN) of the Auto Scaling group.

§auto_scaling_group_name: Option<String>

The name of the Auto Scaling group.

§current_configuration: Option<AutoScalingGroupConfiguration>

An array of objects that describe the current configuration of the Auto Scaling group.

§finding: Option<String>

The finding classification for the Auto Scaling group.

Findings for Auto Scaling groups include:

  • NotOptimized —An Auto Scaling group is considered not optimized when AWS Compute Optimizer identifies a recommendation that can provide better performance for your workload.

  • Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.

The values that are returned might be NOT_OPTIMIZED or OPTIMIZED.

§last_refresh_timestamp: Option<f64>

The time stamp of when the Auto Scaling group recommendation was last refreshed.

§look_back_period_in_days: Option<f64>

The number of days for which utilization metrics were analyzed for the Auto Scaling group.

§recommendation_options: Option<Vec<AutoScalingGroupRecommendationOption>>

An array of objects that describe the recommendation options for the Auto Scaling group.

§utilization_metrics: Option<Vec<UtilizationMetric>>

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

Trait Implementations§

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impl Clone for AutoScalingGroupRecommendation

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fn clone(&self) -> AutoScalingGroupRecommendation

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 AutoScalingGroupRecommendation

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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 AutoScalingGroupRecommendation

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fn default() -> AutoScalingGroupRecommendation

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for AutoScalingGroupRecommendation

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl PartialEq for AutoScalingGroupRecommendation

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fn eq(&self, other: &AutoScalingGroupRecommendation) -> 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 AutoScalingGroupRecommendation

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

🔬This is a nightly-only experimental API. (clone_to_uninit)
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