Struct aws_sdk_computeoptimizer::model::LambdaFunctionRecommendation

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

Expand description

Describes an Lambda function recommendation.

Implementations

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impl LambdaFunctionRecommendation

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

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

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

The version number of the current function.

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

The Amazon Web Services account ID of the function.

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pub fn current_memory_size(&self) -> i32

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

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pub fn number_of_invocations(&self) -> i64

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

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

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

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pub fn lookback_period_in_days(&self) -> f64

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

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

The timestamp of when the function recommendation was last generated.

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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.

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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.

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

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

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pub fn current_performance_risk(&self) -> Option<&CurrentPerformanceRisk>

The risk of the current Lambda function not meeting the performance needs of its workloads. The higher the risk, the more likely the current Lambda function requires more memory.

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