Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric

Description

Documentation

data LambdaFunctionUtilizationMetric Source #

Describes a utilization metric of an Lambda function.

See: newLambdaFunctionUtilizationMetric smart constructor.

Constructors

LambdaFunctionUtilizationMetric'

Fields

value :: Maybe Double
The value of the utilization metric.
name :: Maybe LambdaFunctionMetricName
The name of the utilization metric.
The following utilization metrics are available:
- Duration - The amount of time that your function code spends processing an event.
- Memory - The amount of memory used per invocation.
statistic :: Maybe LambdaFunctionMetricStatistic
The statistic of the utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

Instances

Instances details

Eq LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods (==) :: LambdaFunctionUtilizationMetric -> LambdaFunctionUtilizationMetric -> Bool # (/=) :: LambdaFunctionUtilizationMetric -> LambdaFunctionUtilizationMetric -> Bool #
Read LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods readsPrec :: Int -> ReadS LambdaFunctionUtilizationMetric # readList :: ReadS [LambdaFunctionUtilizationMetric] # readPrec :: ReadPrec LambdaFunctionUtilizationMetric # readListPrec :: ReadPrec [LambdaFunctionUtilizationMetric] #
Show LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods showsPrec :: Int -> LambdaFunctionUtilizationMetric -> ShowS # show :: LambdaFunctionUtilizationMetric -> String # showList :: [LambdaFunctionUtilizationMetric] -> ShowS #
Generic LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Associated Types type Rep LambdaFunctionUtilizationMetric :: Type -> Type # Methods from :: LambdaFunctionUtilizationMetric -> Rep LambdaFunctionUtilizationMetric x # to :: Rep LambdaFunctionUtilizationMetric x -> LambdaFunctionUtilizationMetric #
NFData LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods rnf :: LambdaFunctionUtilizationMetric -> () #
Hashable LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods hashWithSalt :: Int -> LambdaFunctionUtilizationMetric -> Int # hash :: LambdaFunctionUtilizationMetric -> Int #
FromJSON LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods parseJSON :: Value -> Parser LambdaFunctionUtilizationMetric # parseJSONList :: Value -> Parser [LambdaFunctionUtilizationMetric] #
type Rep LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric type Rep LambdaFunctionUtilizationMetric = D1 ('MetaData "LambdaFunctionUtilizationMetric" "Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric" "libZSservicesZSamazonka-compute-optimizerZSamazonka-compute-optimizer" 'False) (C1 ('MetaCons "LambdaFunctionUtilizationMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionMetricName)) :: S1 ('MetaSel ('Just "statistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionMetricStatistic)))))

newLambdaFunctionUtilizationMetric :: LambdaFunctionUtilizationMetric Source #

Create a value of LambdaFunctionUtilizationMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:value:LambdaFunctionUtilizationMetric', lambdaFunctionUtilizationMetric_value - The value of the utilization metric.

$sel:name:LambdaFunctionUtilizationMetric', lambdaFunctionUtilizationMetric_name - The name of the utilization metric.

The following utilization metrics are available:

Duration - The amount of time that your function code spends processing an event.
Memory - The amount of memory used per invocation.

$sel:statistic:LambdaFunctionUtilizationMetric', lambdaFunctionUtilizationMetric_statistic - The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

lambdaFunctionUtilizationMetric_value :: Lens' LambdaFunctionUtilizationMetric (Maybe Double) Source #

The value of the utilization metric.

lambdaFunctionUtilizationMetric_name :: Lens' LambdaFunctionUtilizationMetric (Maybe LambdaFunctionMetricName) Source #

The name of the utilization metric.

The following utilization metrics are available:

Duration - The amount of time that your function code spends processing an event.
Memory - The amount of memory used per invocation.

lambdaFunctionUtilizationMetric_statistic :: Lens' LambdaFunctionUtilizationMetric (Maybe LambdaFunctionMetricStatistic) Source #

The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.