libZSservicesZSamazonka-compute-optimizerZSamazonka-compute-optimizer
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.ComputeOptimizer.Types.EBSFilter

Description

 
Synopsis

Documentation

data EBSFilter Source #

Describes a filter that returns a more specific list of Amazon Elastic Block Store (Amazon EBS) volume recommendations. Use this filter with the GetEBSVolumeRecommendations action.

You can use LambdaFunctionRecommendationFilter with the GetLambdaFunctionRecommendations action, JobFilter with the DescribeRecommendationExportJobs action, and Filter with the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.

See: newEBSFilter smart constructor.

Constructors

EBSFilter' 

Fields

  • values :: Maybe [Text]

    The value of the filter.

    The valid values are Optimized, or NotOptimized.

  • name :: Maybe EBSFilterName

    The name of the filter.

    Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).

Instances

Instances details
Eq EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

Methods

(==) :: EBSFilter -> EBSFilter -> Bool #

(/=) :: EBSFilter -> EBSFilter -> Bool #

Read EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

Methods

readsPrec :: Int -> ReadS EBSFilter #

readList :: ReadS [EBSFilter] #

readPrec :: ReadPrec EBSFilter #

readListPrec :: ReadPrec [EBSFilter] #

Show EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

Methods

showsPrec :: Int -> EBSFilter -> ShowS #

show :: EBSFilter -> String #

showList :: [EBSFilter] -> ShowS #

Generic EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

Associated Types

type Rep EBSFilter :: Type -> Type #

Methods

from :: EBSFilter -> Rep EBSFilter x #

to :: Rep EBSFilter x -> EBSFilter #

NFData EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

Methods

rnf :: EBSFilter -> () #

Hashable EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

Methods

hashWithSalt :: Int -> EBSFilter -> Int #

hash :: EBSFilter -> Int #

ToJSON EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

Methods

toJSON :: EBSFilter -> Value #

toEncoding :: EBSFilter -> Encoding #

toJSONList :: [EBSFilter] -> Value #

toEncodingList :: [EBSFilter] -> Encoding #

type Rep EBSFilter Source # 
Instance details

Defined in Amazonka.ComputeOptimizer.Types.EBSFilter

type Rep EBSFilter = D1 ('MetaData "EBSFilter" "Amazonka.ComputeOptimizer.Types.EBSFilter" "libZSservicesZSamazonka-compute-optimizerZSamazonka-compute-optimizer" 'False) (C1 ('MetaCons "EBSFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EBSFilterName))))

newEBSFilter :: EBSFilter Source #

Create a value of EBSFilter 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:values:EBSFilter', eBSFilter_values - The value of the filter.

The valid values are Optimized, or NotOptimized.

$sel:name:EBSFilter', eBSFilter_name - The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).

eBSFilter_values :: Lens' EBSFilter (Maybe [Text]) Source #

The value of the filter.

The valid values are Optimized, or NotOptimized.

eBSFilter_name :: Lens' EBSFilter (Maybe EBSFilterName) Source #

The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).