Struct aws_sdk_computeoptimizer::model::LambdaFunctionRecommendation

#[non_exhaustive]
pub struct LambdaFunctionRecommendation {
    pub function_arn: Option<String>,
    pub function_version: Option<String>,
    pub account_id: Option<String>,
    pub current_memory_size: i32,
    pub number_of_invocations: i64,
    pub utilization_metrics: Option<Vec<LambdaFunctionUtilizationMetric>>,
    pub lookback_period_in_days: f64,
    pub last_refresh_timestamp: Option<DateTime>,
    pub finding: Option<LambdaFunctionRecommendationFinding>,
    pub finding_reason_codes: Option<Vec<LambdaFunctionRecommendationFindingReasonCode>>,
    pub memory_size_recommendation_options: Option<Vec<LambdaFunctionMemoryRecommendationOption>>,
}

Describes an Lambda function recommendation.

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.

function_arn: Option<String>

The Amazon Resource Name (ARN) of the current function.

function_version: Option<String>

The version number of the current function.

account_id: Option<String>

The Amazon Web Services account ID of the function.

current_memory_size: i32

The amount of memory, in MB, that's allocated to the current function.

number_of_invocations: i64

The number of times your function code was applied during the look-back period.

utilization_metrics: Option<Vec<LambdaFunctionUtilizationMetric>>

An array of objects that describe the utilization metrics of the function.

lookback_period_in_days: f64

The number of days for which utilization metrics were analyzed for the function.

last_refresh_timestamp: Option<DateTime>

The timestamp of when the function recommendation was last refreshed.

finding: Option<LambdaFunctionRecommendationFinding>

The finding classification of the function.

Findings for functions include:

• Optimized — The function is correctly provisioned to run your workload based on its current configuration and its utilization history. This finding classification does not include finding reason codes.

• NotOptimized — The function is performing at a higher level (over-provisioned) or at a lower level (under-provisioned) than required for your workload because its current configuration is not optimal. Over-provisioned resources might lead to unnecessary infrastructure cost, and under-provisioned resources might lead to poor application performance. This finding classification can include the MemoryUnderprovisioned and MemoryUnderprovisioned finding reason codes.

• Unavailable — Compute Optimizer was unable to generate a recommendation for the function. This could be because the function has not accumulated sufficient metric data, or the function does not qualify for a recommendation. This finding classification can include the InsufficientData and Inconclusive finding reason codes.

  Functions with a finding of unavailable are not returned unless you specify the filter parameter with a value of Unavailable in your GetLambdaFunctionRecommendations request.

finding_reason_codes: Option<Vec<LambdaFunctionRecommendationFindingReasonCode>>

The reason for the finding classification of the function.

Functions that have a finding classification of Optimized don't have a finding reason code.

Finding reason codes for functions include:

• MemoryOverprovisioned — The function is over-provisioned when its memory configuration can be sized down while still meeting the performance requirements of your workload. An over-provisioned function might lead to unnecessary infrastructure cost. This finding reason code is part of the NotOptimized finding classification.

• MemoryUnderprovisioned — The function is under-provisioned when its memory configuration doesn't meet the performance requirements of the workload. An under-provisioned function might lead to poor application performance. This finding reason code is part of the NotOptimized finding classification.

• InsufficientData — The function does not have sufficient metric data for Compute Optimizer to generate a recommendation. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. This finding reason code is part of the Unavailable finding classification.

• Inconclusive — The function does not qualify for a recommendation because Compute Optimizer cannot generate a recommendation with a high degree of confidence. This finding reason code is part of the Unavailable finding classification.

memory_size_recommendation_options: Option<Vec<LambdaFunctionMemoryRecommendationOption>>

An array of objects that describe the memory configuration recommendation options for the function.

Implementations

impl LambdaFunctionRecommendation

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

The Amazon Resource Name (ARN) of the current function.

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

The version number of the current function.

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

The Amazon Web Services account ID of the function.

pub fn current_memory_size(&self) -> i32

The amount of memory, in MB, that's allocated to the current function.

pub fn number_of_invocations(&self) -> i64

The number of times your function code was applied during the look-back period.

pub fn utilization_metrics(&self) -> Option<&[LambdaFunctionUtilizationMetric]>

An array of objects that describe the utilization metrics of the function.

pub fn lookback_period_in_days(&self) -> f64

The number of days for which utilization metrics were analyzed for the function.

pub fn last_refresh_timestamp(&self) -> Option<&DateTime>

The timestamp of when the function recommendation was last refreshed.

pub fn finding(&self) -> Option<&LambdaFunctionRecommendationFinding>

The finding classification of the function.

Findings for functions include:

• Optimized — The function is correctly provisioned to run your workload based on its current configuration and its utilization history. This finding classification does not include finding reason codes.

• NotOptimized — The function is performing at a higher level (over-provisioned) or at a lower level (under-provisioned) than required for your workload because its current configuration is not optimal. Over-provisioned resources might lead to unnecessary infrastructure cost, and under-provisioned resources might lead to poor application performance. This finding classification can include the MemoryUnderprovisioned and MemoryUnderprovisioned finding reason codes.

• Unavailable — Compute Optimizer was unable to generate a recommendation for the function. This could be because the function has not accumulated sufficient metric data, or the function does not qualify for a recommendation. This finding classification can include the InsufficientData and Inconclusive finding reason codes.

  Functions with a finding of unavailable are not returned unless you specify the filter parameter with a value of Unavailable in your GetLambdaFunctionRecommendations request.

pub fn finding_reason_codes(
    &self
) -> Option<&[LambdaFunctionRecommendationFindingReasonCode]>

The reason for the finding classification of the function.

Functions that have a finding classification of Optimized don't have a finding reason code.

Finding reason codes for functions include:

• MemoryOverprovisioned — The function is over-provisioned when its memory configuration can be sized down while still meeting the performance requirements of your workload. An over-provisioned function might lead to unnecessary infrastructure cost. This finding reason code is part of the NotOptimized finding classification.

• MemoryUnderprovisioned — The function is under-provisioned when its memory configuration doesn't meet the performance requirements of the workload. An under-provisioned function might lead to poor application performance. This finding reason code is part of the NotOptimized finding classification.

• InsufficientData — The function does not have sufficient metric data for Compute Optimizer to generate a recommendation. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. This finding reason code is part of the Unavailable finding classification.

• Inconclusive — The function does not qualify for a recommendation because Compute Optimizer cannot generate a recommendation with a high degree of confidence. This finding reason code is part of the Unavailable finding classification.

pub fn memory_size_recommendation_options(
    &self
) -> Option<&[LambdaFunctionMemoryRecommendationOption]>

An array of objects that describe the memory configuration recommendation options for the function.

impl LambdaFunctionRecommendation

pub fn builder() -> Builder

Creates a new builder-style object to manufacture LambdaFunctionRecommendation

Trait Implementations

impl Clone for LambdaFunctionRecommendation

fn clone(&self) -> LambdaFunctionRecommendation

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for LambdaFunctionRecommendation

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

Formats the value using the given formatter.

impl PartialEq<LambdaFunctionRecommendation> for LambdaFunctionRecommendation

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

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

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

This method tests for !=.

impl StructuralPartialEq for LambdaFunctionRecommendation