Struct GetScalingConfigurationRecommendationInput

#[non_exhaustive]
pub struct GetScalingConfigurationRecommendationInput {
    pub inference_recommendations_job_name: Option<String>,
    pub recommendation_id: Option<String>,
    pub endpoint_name: Option<String>,
    pub target_cpu_utilization_per_core: Option<i32>,
    pub scaling_policy_objective: Option<ScalingPolicyObjective>,
}

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.

inference_recommendations_job_name: Option<String>

The name of a previously completed Inference Recommender job.

recommendation_id: Option<String>

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

endpoint_name: Option<String>

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

target_cpu_utilization_per_core: Option<i32>

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

scaling_policy_objective: Option<ScalingPolicyObjective>

An object where you specify the anticipated traffic pattern for an endpoint.

Implementations

impl GetScalingConfigurationRecommendationInput

pub fn inference_recommendations_job_name(&self) -> Option<&str>

The name of a previously completed Inference Recommender job.

pub fn recommendation_id(&self) -> Option<&str>

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

pub fn endpoint_name(&self) -> Option<&str>

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

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

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

pub fn scaling_policy_objective(&self) -> Option<&ScalingPolicyObjective>

An object where you specify the anticipated traffic pattern for an endpoint.

impl GetScalingConfigurationRecommendationInput

pub fn builder() -> GetScalingConfigurationRecommendationInputBuilder

Creates a new builder-style object to manufacture GetScalingConfigurationRecommendationInput.

Trait Implementations

impl Clone for GetScalingConfigurationRecommendationInput

fn clone(&self) -> GetScalingConfigurationRecommendationInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GetScalingConfigurationRecommendationInput

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

Formats the value using the given formatter.

impl PartialEq for GetScalingConfigurationRecommendationInput

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

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

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

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

impl StructuralPartialEq for GetScalingConfigurationRecommendationInput