Retrieves cost and usage metrics for your account. You can specify which cost and usage-related metric, such as BlendedCosts or UsageQuantity , that you want the request to return. You can also filter and group your data by various dimensions, such as SERVICE or AZ , in a specific time range. For a complete list of valid dimensions, see the GetDimensionValues operation. Master accounts in an organization in AWS Organizations have access to all member accounts.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
get-cost-and-usage
--time-period <value>
[--granularity <value>]
[--filter <value>]
[--metrics <value>]
[--group-by <value>]
[--next-page-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]
--time-period (structure)
Sets the start and end dates for retrieving AWS costs. The start date is inclusive, but the end date is exclusive. For example, if
startis2017-01-01andendis2017-05-01, then the cost and usage data is retrieved from2017-01-01up to and including2017-04-30but not including2017-05-01.Start -> (string)
The beginning of the time period that you want the usage and costs for. The start date is inclusive. For example, if
startis2017-01-01, AWS retrieves cost and usage data starting at2017-01-01up to the end date.End -> (string)
The end of the time period that you want the usage and costs for. The end date is exclusive. For example, if
endis2017-05-01, AWS retrieves cost and usage data from the start date up to, but not including,2017-05-01.
Shorthand Syntax:
Start=string,End=string
JSON Syntax:
{
"Start": "string",
"End": "string"
}
--granularity (string)
Sets the AWS cost granularity to
MONTHLYorDAILY, orHOURLY. IfGranularityisn’t set, the response object doesn’t include theGranularity, eitherMONTHLYorDAILY, orHOURLY.Possible values:
DAILY
MONTHLY
HOURLY
--filter (structure)
Filters AWS costs by different dimensions. For example, you can specify
SERVICEandLINKED_ACCOUNTand get the costs that are associated with that account’s usage of that service. You can nestExpressionobjects to define any combination of dimension filters. For more information, see Expression .Or -> (list)
Return results that match either
Dimensionobject.(structure)
Use
Expressionto filter by cost or by usage. There are two patterns:
Simple dimension values - You can set the dimension name and values for the filters that you plan to use. For example, you can filter for
REGION==us-east-1 OR REGION==us-west-1. TheExpressionfor that looks like this:{ "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } }The list of dimension values are OR’d together to retrieve cost or usage data. You can createExpressionandDimensionValuesobjects using eitherwith*methods orset*methods in multiple lines.Compound dimension values with logical operations - You can use multiple
Expressiontypes and the logical operatorsAND/OR/NOTto create a list of one or moreExpressionobjects. This allows you to filter on more advanced options. For example, you can filter on((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer). TheExpressionfor that looks like this:{ "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }Note
Because each
Expressioncan have only one operator, the service returns an error if more than one is specified. The following example shows anExpressionobject that creates an error.
{ "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }Note
For
GetRightsizingRecommendationaction, a combination of OR and NOT is not supported. OR is not supported between different dimensions, or dimensions and tags. NOT operators aren’t supported. Dimensions are also limited toLINKED_ACCOUNT,REGION, orRIGHTSIZING_TYPE.Or -> (list)
Return results that match either
Dimensionobject.( … recursive … )
And -> (list)
Return results that match both
Dimensionobjects.( … recursive … )
( … recursive … )Dimensions -> (structure)
The specific
Dimensionto use forExpression.Key -> (string)
The names of the metadata types that you can use to filter and group your results. For example,
AZreturns a list of Availability Zones.Values -> (list)
The metadata values that you can use to filter and group your results. You can use
GetDimensionValuesto find specific values.(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
Tags -> (structure)
The specific
Tagto use forExpression.Key -> (string)
The key for the tag.
Values -> (list)
The specific value of the tag.
(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
CostCategories -> (structure)
The filter based on
CostCategoryvalues.Key -> (string)
The unique name of the Cost Category.
Values -> (list)
The specific value of the Cost Category.
(string)
And -> (list)
Return results that match both
Dimensionobjects.(structure)
Use
Expressionto filter by cost or by usage. There are two patterns:
Simple dimension values - You can set the dimension name and values for the filters that you plan to use. For example, you can filter for
REGION==us-east-1 OR REGION==us-west-1. TheExpressionfor that looks like this:{ "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } }The list of dimension values are OR’d together to retrieve cost or usage data. You can createExpressionandDimensionValuesobjects using eitherwith*methods orset*methods in multiple lines.Compound dimension values with logical operations - You can use multiple
Expressiontypes and the logical operatorsAND/OR/NOTto create a list of one or moreExpressionobjects. This allows you to filter on more advanced options. For example, you can filter on((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer). TheExpressionfor that looks like this:{ "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }Note
Because each
Expressioncan have only one operator, the service returns an error if more than one is specified. The following example shows anExpressionobject that creates an error.
{ "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }Note
For
GetRightsizingRecommendationaction, a combination of OR and NOT is not supported. OR is not supported between different dimensions, or dimensions and tags. NOT operators aren’t supported. Dimensions are also limited toLINKED_ACCOUNT,REGION, orRIGHTSIZING_TYPE.Or -> (list)
Return results that match either
Dimensionobject.( … recursive … )
And -> (list)
Return results that match both
Dimensionobjects.( … recursive … )
( … recursive … )Dimensions -> (structure)
The specific
Dimensionto use forExpression.Key -> (string)
The names of the metadata types that you can use to filter and group your results. For example,
AZreturns a list of Availability Zones.Values -> (list)
The metadata values that you can use to filter and group your results. You can use
GetDimensionValuesto find specific values.(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
Tags -> (structure)
The specific
Tagto use forExpression.Key -> (string)
The key for the tag.
Values -> (list)
The specific value of the tag.
(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
CostCategories -> (structure)
The filter based on
CostCategoryvalues.Key -> (string)
The unique name of the Cost Category.
Values -> (list)
The specific value of the Cost Category.
(string)
Not -> (structure)
Return results that don’t match a
Dimensionobject.Or -> (list)
Return results that match either
Dimensionobject.( … recursive … )
And -> (list)
Return results that match both
Dimensionobjects.( … recursive … )
( … recursive … )Dimensions -> (structure)
The specific
Dimensionto use forExpression.Key -> (string)
The names of the metadata types that you can use to filter and group your results. For example,
AZreturns a list of Availability Zones.Values -> (list)
The metadata values that you can use to filter and group your results. You can use
GetDimensionValuesto find specific values.(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
Tags -> (structure)
The specific
Tagto use forExpression.Key -> (string)
The key for the tag.
Values -> (list)
The specific value of the tag.
(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
CostCategories -> (structure)
The filter based on
CostCategoryvalues.Key -> (string)
The unique name of the Cost Category.
Values -> (list)
The specific value of the Cost Category.
(string)
Dimensions -> (structure)
The specific
Dimensionto use forExpression.Key -> (string)
The names of the metadata types that you can use to filter and group your results. For example,
AZreturns a list of Availability Zones.Values -> (list)
The metadata values that you can use to filter and group your results. You can use
GetDimensionValuesto find specific values.(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
Tags -> (structure)
The specific
Tagto use forExpression.Key -> (string)
The key for the tag.
Values -> (list)
The specific value of the tag.
(string)
MatchOptions -> (list)
The match options that you can use to filter your results.
MatchOptionsis only applicable for only applicable for actions related to Cost Category. The default values forMatchOptionsisEQUALSandCASE_SENSITIVE.(string)
CostCategories -> (structure)
The filter based on
CostCategoryvalues.Key -> (string)
The unique name of the Cost Category.
Values -> (list)
The specific value of the Cost Category.
(string)
JSON Syntax:
{
"Or": [
{
"Or": [
{ ... recursive ... }
...
],
"And": [
{ ... recursive ... }
...
],
"Not": { ... recursive ... },
"Dimensions": {
"Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...]
}
}
...
],
"And": [
{
"Or": [
{ ... recursive ... }
...
],
"And": [
{ ... recursive ... }
...
],
"Not": { ... recursive ... },
"Dimensions": {
"Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...]
}
}
...
],
"Not": {
"Or": [
{ ... recursive ... }
...
],
"And": [
{ ... recursive ... }
...
],
"Not": { ... recursive ... },
"Dimensions": {
"Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...]
}
},
"Dimensions": {
"Key": "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"USAGE_TYPE"|"USAGE_TYPE_GROUP"|"RECORD_TYPE"|"OPERATING_SYSTEM"|"TENANCY"|"SCOPE"|"PLATFORM"|"SUBSCRIPTION_ID"|"LEGAL_ENTITY_NAME"|"DEPLOYMENT_OPTION"|"DATABASE_ENGINE"|"CACHE_ENGINE"|"INSTANCE_TYPE_FAMILY"|"BILLING_ENTITY"|"RESERVATION_ID"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...]
}
}
--metrics (list)
Which metrics are returned in the query. For more information about blended and unblended rates, see Why does the “blended” annotation appear on some line items in my bill? .
Valid values are
AmortizedCost,BlendedCost,NetAmortizedCost,NetUnblendedCost,NormalizedUsageAmount,UnblendedCost, andUsageQuantity.Note
If you return the
UsageQuantitymetric, the service aggregates all usage numbers without taking into account the units. For example, if you aggregateusageQuantityacross all of Amazon EC2, the results aren’t meaningful because Amazon EC2 compute hours and data transfer are measured in different units (for example, hours vs. GB). To get more meaningfulUsageQuantitymetrics, filter byUsageTypeorUsageTypeGroups.
Metricsis required forGetCostAndUsagerequests.(string)
Syntax:
"string" "string" ...
--group-by (list)
You can group AWS costs using up to two different groups, either dimensions, tag keys, or both.
When you group by tag key, you get all tag values, including empty strings.
Valid values are
AZ,INSTANCE_TYPE,LEGAL_ENTITY_NAME,LINKED_ACCOUNT,OPERATION,PLATFORM,PURCHASE_TYPE,SERVICE,TAGS,TENANCY,RECORD_TYPE, andUSAGE_TYPE.(structure)
Represents a group when you specify a group by criteria or in the response to a query with a specific grouping.
Type -> (string)
The string that represents the type of group.
Key -> (string)
The string that represents a key for a specified group.
Shorthand Syntax:
Type=string,Key=string ...
JSON Syntax:
[
{
"Type": "DIMENSION"|"TAG"|"COST_CATEGORY",
"Key": "string"
}
...
]
--next-page-token (string)
The token to retrieve the next set of results. AWS provides the token when the response from a previous call has more results than the maximum page size.
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
See ‘aws help’ for descriptions of global parameters.
To retrieve the S3 usage of an account for the month of September 2017
The following get-cost-and-usage example retrieves the S3 usage of an account for the month of September 2017.
aws ce get-cost-and-usage \
--time-period Start=2017-09-01,End=2017-10-01 \
--granularity MONTHLY \
--metrics "BlendedCost" "UnblendedCost" "UsageQuantity" \
--group-by Type=DIMENSION,Key=SERVICE Type=TAG,Key=Environment \
--filter file://filters.json
Contents of filters.json:
{
"Dimensions": {
"Key": "SERVICE",
"Values": [
"Amazon Simple Storage Service"
]
}
}
Output:
{
"GroupDefinitions": [
{
"Type": "DIMENSION",
"Key": "SERVICE"
},
{
"Type": "TAG",
"Key": "Environment"
}
],
"ResultsByTime": [
{
"Estimated": false,
"TimePeriod": {
"Start": "2017-09-01",
"End": "2017-10-01"
},
"Total": {},
"Groups": [
{
"Keys": [
"Amazon Simple Storage Service",
"Environment$"
],
"Metrics": {
"BlendedCost": {
"Amount": "40.3527508453",
"Unit": "USD"
},
"UnblendedCost": {
"Amount": "40.3543773134",
"Unit": "USD"
},
"UsageQuantity": {
"Amount": "9312771.098461578",
"Unit": "N/A"
}
}
},
{
"Keys": [
"Amazon Simple Storage Service",
"Environment$Dev"
],
"Metrics": {
"BlendedCost": {
"Amount": "0.2682364644",
"Unit": "USD"
},
"UnblendedCost": {
"Amount": "0.2682364644",
"Unit": "USD"
},
"UsageQuantity": {
"Amount": "22403.4395271182",
"Unit": "N/A"
}
}
}
]
}
]
}
NextPageToken -> (string)
The token for the next set of retrievable results. AWS provides the token when the response from a previous call has more results than the maximum page size.
GroupDefinitions -> (list)
The groups that are specified by the
FilterorGroupByparameters in the request.(structure)
Represents a group when you specify a group by criteria or in the response to a query with a specific grouping.
Type -> (string)
The string that represents the type of group.
Key -> (string)
The string that represents a key for a specified group.
ResultsByTime -> (list)
The time period that is covered by the results in the response.
(structure)
The result that is associated with a time period.
TimePeriod -> (structure)
The time period that the result covers.
Start -> (string)
The beginning of the time period that you want the usage and costs for. The start date is inclusive. For example, if
startis2017-01-01, AWS retrieves cost and usage data starting at2017-01-01up to the end date.End -> (string)
The end of the time period that you want the usage and costs for. The end date is exclusive. For example, if
endis2017-05-01, AWS retrieves cost and usage data from the start date up to, but not including,2017-05-01.Total -> (map)
The total amount of cost or usage accrued during the time period.
key -> (string)
value -> (structure)
The aggregated value for a metric.
Amount -> (string)
The actual number that represents the metric.
Unit -> (string)
The unit that the metric is given in.
Groups -> (list)
The groups that this time period includes.
(structure)
One level of grouped data in the results.
Keys -> (list)
The keys that are included in this group.
(string)
Metrics -> (map)
The metrics that are included in this group.
key -> (string)
value -> (structure)
The aggregated value for a metric.
Amount -> (string)
The actual number that represents the metric.
Unit -> (string)
The unit that the metric is given in.
Estimated -> (boolean)
Whether the result is estimated.