NAME

Paws::ComputeOptimizer::LambdaFunctionRecommendation

USAGE

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::ComputeOptimizer::LambdaFunctionRecommendation object:

$service_obj->Method(Att1 => { AccountId => $value, ..., UtilizationMetrics => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::ComputeOptimizer::LambdaFunctionRecommendation object:

$result = $service_obj->Method(...);
$result->Att1->AccountId

DESCRIPTION

Describes an AWS Lambda function recommendation.

ATTRIBUTES

AccountId => Str

The AWS account ID of the function.

CurrentMemorySize => Int

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

Finding => Str

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.

FindingReasonCodes => ArrayRef[Str|Undef]

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 (https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html) in the AWS 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.

FunctionArn => Str

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

FunctionVersion => Str

The version number of the current function.

LastRefreshTimestamp => Str

The time stamp of when the function recommendation was last refreshed.

LookbackPeriodInDays => Num

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

MemorySizeRecommendationOptions => ArrayRef[Paws::ComputeOptimizer::LambdaFunctionMemoryRecommendationOption]

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

NumberOfInvocations => Int

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

UtilizationMetrics => ArrayRef[Paws::ComputeOptimizer::LambdaFunctionUtilizationMetric]

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

SEE ALSO

This class forms part of Paws, describing an object used in Paws::ComputeOptimizer

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues