steampipe plugin install aws

Table: aws_cost_by_record_type_daily - Query AWS Cost and Usage Report using SQL

The AWS Cost and Usage Report is a comprehensive resource that provides detailed information about your AWS costs. It allows you to view your AWS usage and costs for each service category used by your accounts and by specific cost allocation tags. By querying this report, you can gain insights into your AWS spending and optimize your resource utilization.

Table Usage Guide

The aws_cost_by_record_type_daily table in Steampipe provides you with information about AWS costs incurred per record type on a daily basis. This table allows you as a financial analyst, DevOps engineer, or other professional to query cost-specific details, including the linked account, service, usage type, and operation. You can utilize this table to gather insights on cost distribution, such as costs associated with different services, usage types, and operations. The schema outlines the various attributes of the cost record, including the record id, record type, billing period start date, and cost.

Amazon Cost Explorer helps you visualize, understand, and manage your AWS costs and usage. The aws_cost_by_record_type_daily table provides a simplified view of cost for your account (or all linked accounts when run against the organization master) as per record types (fees, usage, costs, tax refunds, and credits), summarized by day, for the last year.

Important Notes

Examples

Basic info

Determine the areas in which your AWS account incurs costs on a daily basis. This query helps you understand your spending patterns by breaking down costs into different categories, allowing you to manage your AWS resources more efficiently.

select
linked_account_id,
record_type,
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_record_type_daily
order by
linked_account_id,
period_start;
select
linked_account_id,
record_type,
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_record_type_daily
order by
linked_account_id,
period_start;

Min, Max, and average daily unblended_cost_amount by account and record type

Determine the areas in which you have minimum, maximum, and average daily costs associated with different accounts and record types. This can help you identify potential cost-saving opportunities and better manage your resources.

select
linked_account_id,
record_type,
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_record_type_daily
group by
linked_account_id,
record_type
order by
linked_account_id;
select
linked_account_id,
record_type,
min(unblended_cost_amount) as min,
max(unblended_cost_amount) as max,
avg(unblended_cost_amount) as average
from
aws_cost_by_record_type_daily
group by
linked_account_id,
record_type
order by
linked_account_id;

Ranked - Top 10 Most expensive days (unblended_cost_amount) by account and record type

Determine the days with the highest expenses, grouped by account and record type. This query can help in cost optimization by identifying the top 10 most expensive days, allowing for better budget management and resource allocation.

with ranked_costs as (
select
linked_account_id,
record_type,
period_start,
unblended_cost_amount :: numeric :: money,
rank() over(
partition by linked_account_id,
record_type
order by
unblended_cost_amount desc
)
from
aws_cost_by_record_type_daily
)
select
*
from
ranked_costs
where
rank <= 10;
Error: SQLite does not support the rank window function.

Schema for aws_cost_by_record_type_daily

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 linked 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.
record_typetextThe different types of charges such as RI fees, usage, costs, tax refunds, and credits.
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_record_type_daily