Get-LMCostOptimizationRecommendationCategories
Syntax
All (Default)
Get-LMCostOptimizationRecommendationCategories [-BatchSize <Int32>] [-ProgressAction <ActionPreference>] [<CommonParameters>]
Filter
Get-LMCostOptimizationRecommendationCategories [-Filter <Object>] [-BatchSize <Int32>] [-ProgressAction <ActionPreference>] [<CommonParameters>]
Description
The Get-LMCostOptimizationRecommendationCategories function retrieves cloud cost optimization recommendation categories from a connected LogicMonitor portal.
Examples
Example 1
#Retrieve all cost optimization recommendation categoriesGet-LMCostOptimizationRecommendationCategories
Example 2
#Retrieve cost optimization recommendation categories using a filterGet-LMCostOptimizationRecommendationCategories -Filter 'recommendationCategory -eq "Underutilized AWS EC2 instances"'
Parameters
-Filter
A filter object to apply when retrieving cost optimization recommendation categories. Only recommendationCategory and recommendationStatus are supported for filtering using the equals operator all others are not supported at this time.
Type: ObjectParameter Sets: FilterAliases:
Required: FalsePosition: NamedDefault value: NoneAccept pipeline input: FalseAccept wildcard characters: False
-BatchSize
The number of results to return per request. Must be between 1 and 1000. Defaults to 50.
Type: Int32Parameter Sets: (All)Aliases:
Required: FalsePosition: NamedDefault value: 50Accept pipeline input: FalseAccept wildcard characters: False
-ProgressAction
Fill ProgressAction Description
Type: ActionPreferenceParameter Sets: (All)Aliases: proga
Required: FalsePosition: NamedDefault value: NoneAccept pipeline input: FalseAccept wildcard characters: False
CommonParameters
This cmdlet supports the common parameters: -Debug, -ErrorAction, -ErrorVariable, -InformationAction, -InformationVariable, -OutVariable, -OutBuffer, -PipelineVariable, -Verbose, -WarningAction, and -WarningVariable. For more information, see about_CommonParameters.
Inputs
No input is accepted.
Outputs
Returns LogicMonitor.CostOptimizationRecommendationCategory objects.
Notes
You must run Connect-LMAccount before running this command. When using filters, consult the LM API docs for allowed filter fields.