steampipe plugin install aws

Table: aws_cost_by_account_monthly - Query AWS Cost Explorer Service using SQL

The AWS Cost Explorer Service provides insights into your AWS costs and usage. It enables you to visualize, understand, and manage your AWS costs and usage over time. You can use it to query your monthly AWS costs by account using SQL.

Table Usage Guide

The aws_cost_by_account_monthly table in Steampipe provides you with information about your monthly AWS costs per account. This table allows you, as a financial analyst or DevOps engineer, to query cost-specific details, including the total amount spent, the currency code, and the associated AWS account. You can utilize this table to gain insights on your AWS spending and to manage your budget more effectively. The schema outlines the various attributes of your AWS cost, including the account ID, the month, the total amount, and the currency code.

Amazon Cost Explorer helps you visualize, understand, and manage your AWS costs and usage. The aws_cost_by_account_monthly table provides a simplified view of cost for your account (or all linked accounts when run against the organization master), summarized by month, for the last year.

Important Notes

Examples

Basic info

This query allows you to analyze the monthly costs associated with each linked account on AWS. It helps in understanding the financial impact of different accounts and provides insights for better cost management.

select
linked_account_id,
period_start,
blended_cost_amount :: numeric :: money,
unblended_cost_amount :: numeric :: money,
amortized_cost_amount :: numeric :: money,
net_unblended_cost_amount :: numeric :: money,
net_amortized_cost_amount :: numeric :: money
from
aws_cost_by_account_monthly
order by
linked_account_id,
period_start;
select
linked_account_id,
period_start,
CAST(blended_cost_amount AS REAL) AS blended_cost_amount,
CAST(unblended_cost_amount AS REAL) AS unblended_cost_amount,
CAST(amortized_cost_amount AS REAL) AS amortized_cost_amount,
CAST(net_unblended_cost_amount AS REAL) AS net_unblended_cost_amount,
CAST(net_amortized_cost_amount AS REAL) AS net_amortized_cost_amount
from
aws_cost_by_account_monthly
order by
linked_account_id,
period_start;

Min, Max, and average monthly unblended_cost_amount by account

Analyze your AWS accounts' monthly expenditure to identify the minimum, maximum, and average costs. This information can help in budgeting and managing your cloud expenses more effectively.

select
linked_account_id,
min(unblended_cost_amount) :: numeric :: money as min,
max(unblended_cost_amount) :: numeric :: money as max,
avg(unblended_cost_amount) :: numeric :: money as average
from
aws_cost_by_account_monthly
group by
linked_account_id
order by
linked_account_id;
select
linked_account_id,
min(unblended_cost_amount) as min,
max(unblended_cost_amount) as max,
avg(unblended_cost_amount) as average
from
aws_cost_by_account_monthly
group by
linked_account_id
order by
linked_account_id;

Ranked - Most expensive months (unblended_cost_amount) by account

Analyze your spending patterns by identifying the months with the highest costs for each linked AWS account. This can help manage your budget by highlighting periods of increased expenditure.

select
linked_account_id,
period_start,
unblended_cost_amount :: numeric :: money,
rank() over(
partition by linked_account_id
order by
unblended_cost_amount desc
)
from
aws_cost_by_account_monthly;
Error: SQLite does not support the rank window function.

Month on month growth (unblended_cost_amount) by account

This query is designed to analyze monthly expenditure trends across different accounts. It helps users identify any significant changes in costs, which can be useful for budgeting and cost management purposes.

with cost_data as (
select
linked_account_id,
period_start,
unblended_cost_amount as this_month,
lag(unblended_cost_amount, 1) over(
partition by linked_account_id
order by
period_start desc
) as previous_month
from
aws_cost_by_account_monthly
)
select
linked_account_id,
period_start,
this_month :: numeric :: money,
previous_month :: numeric :: money,
round(
(100 * ((this_month - previous_month) / previous_month)) :: numeric,
2
) as percent_change
from
cost_data
order by
linked_account_id,
period_start;
with cost_data as (
select
linked_account_id,
period_start,
unblended_cost_amount as this_month,
lag(unblended_cost_amount, 1) over(
partition by linked_account_id
order by
period_start desc
) as previous_month
from
aws_cost_by_account_monthly
)
select
linked_account_id,
period_start,
this_month,
previous_month,
round(100 * (this_month - previous_month) / previous_month, 2) as percent_change
from
cost_data
order by
linked_account_id;

Schema for aws_cost_by_account_monthly

NameTypeOperatorsDescription
_ctxjsonbSteampipe context in JSON form, e.g. connection_name.
account_idtextThe AWS Account ID in which the resource is located.
amortized_cost_amountdouble precisionThis cost metric reflects the effective cost of the upfront and monthly reservation fees spread across the billing period. By default, Cost Explorer shows the fees for Reserved Instances as a spike on the day that you're charged, but if you choose to show costs as amortized costs, the costs are amortized over the billing period. This means that the costs are broken out into the effective daily rate. AWS estimates your amortized costs by combining your unblended costs with the amortized portion of your upfront and recurring reservation fees.
amortized_cost_unittextUnit type for amortized costs.
blended_cost_amountdouble precisionThis cost metric reflects the average cost of usage across the consolidated billing family. If you use the consolidated billing feature in AWS Organizations, you can view costs using blended rates.
blended_cost_unittextUnit type for blended costs.
estimatedbooleanWhether the result is estimated.
linked_account_idtextThe AWS Account ID.
net_amortized_cost_amountdouble precisionThis cost metric amortizes the upfront and monthly reservation fees while including discounts such as RI volume discounts.
net_amortized_cost_unittextUnit type for net amortized costs.
net_unblended_cost_amountdouble precisionThis cost metric reflects the unblended cost after discounts.
net_unblended_cost_unittextUnit type for net unblended costs.
normalized_usage_amountdouble precisionThe amount of usage that you incurred, in normalized units, for size-flexible RIs. The NormalizedUsageAmount is equal to UsageAmount multiplied by NormalizationFactor.
normalized_usage_unittextUnit type for normalized usage.
partitiontextThe AWS partition in which the resource is located (aws, aws-cn, or aws-us-gov).
period_endtimestamp with time zoneEnd timestamp for this cost metric.
period_starttimestamp with time zoneStart timestamp for this cost metric.
regiontextThe AWS Region in which the resource is located.
unblended_cost_amountdouble precisionUnblended costs represent your usage costs on the day they are charged to you. In finance terms, they represent your costs on a cash basis of accounting.
unblended_cost_unittextUnit type for unblended costs.
usage_quantity_amountdouble precisionThe amount of usage that you incurred. NOTE: If you return the UsageQuantity metric, the service aggregates all usage numbers without taking into account the units. For example, if you aggregate usageQuantity across 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).
usage_quantity_unittextUnit type for usage quantity.

Export

This table is available as a standalone Exporter CLI. Steampipe exporters are stand-alone binaries that allow you to extract data using Steampipe plugins without a database.

You can download the tarball for your platform from the Releases page, but it is simplest to install them with the steampipe_export_installer.sh script:

/bin/sh -c "$(curl -fsSL https://steampipe.io/install/export.sh)" -- aws

You can pass the configuration to the command with the --config argument:

steampipe_export_aws --config '<your_config>' aws_cost_by_account_monthly