aws-cost-explorer

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

AWS Cost Explorer

Query AWS costs and usage details with flexible granularity - from service-level overview to detailed usage type breakdown.

查询AWS成本和使用详情，支持灵活的粒度——从服务级概览到详细的使用类型细分。

Capabilities

功能

Query daily AWS costs by service (e.g., EC2, S3, OpenSearch, DocumentDB)
Drill down to usage type details for specific services (e.g., instance types, storage, data transfer)
Filter results by minimum cost threshold
Support both relative dates (days ago) and absolute dates (YYYY-MM-DD)
Output in human-readable table or JSON format

按服务查询每日AWS成本（如EC2、S3、OpenSearch、DocumentDB）
深入查看特定服务的使用类型详情（如实例类型、存储、数据传输）
按最低成本阈值过滤结果
支持相对日期（几天前）和绝对日期（YYYY-MM-DD）
输出人类可读的表格或JSON格式

Usage

使用方法

Quick Commands

快速命令

To query costs, use the bundled script at

scripts/cost_query.py

bash

undefined

要查询成本，使用

scripts/cost_query.py

中的捆绑脚本：

bash

undefined

Query costs from 2 days ago (default) by service

查询2天前（默认）的按服务划分的成本

python3 <skill-path>/scripts/cost_query.py

Query yesterday's costs, show items > $5

查询昨天的成本，显示金额超过5美元的项目

python3 <skill-path>/scripts/cost_query.py --days-ago 1 --min-cost 5

Query specific date

查询特定日期的成本

python3 <skill-path>/scripts/cost_query.py --date 2026-01-15

Query specific service's usage breakdown

查询特定服务的使用细分

python3 <skill-path>/scripts/cost_query.py --service "Amazon OpenSearch Service" --min-cost 1

Query all services with usage type details

查询所有服务的使用类型详情

python3 <skill-path>/scripts/cost_query.py --detailed --min-cost 5

Output as JSON

以JSON格式输出

python3 <skill-path>/scripts/cost_query.py --json --min-cost 5

undefined

python3 <skill-path>/scripts/cost_query.py --json --min-cost 5

undefined

Script Options

脚本选项

Option	Short	Description
`--days-ago`	`-d`	Query N days ago (default: 2, i.e., day before yesterday)
`--date`		Query specific date (YYYY-MM-DD format)
`--min-cost`	`-m`	Minimum cost threshold to display (default: 0)
`--service`	`-s`	Query usage type breakdown for a specific service
`--detailed`		Show all services with usage type breakdown
`--json`	`-j`	Output in JSON format

选项	简写	描述
`--days-ago`	`-d`	查询N天前的成本（默认：2，即前天）
`--date`		查询特定日期的成本（格式为YYYY-MM-DD）
`--min-cost`	`-m`	显示结果的最低成本阈值（默认：0）
`--service`	`-s`	查询特定服务的使用类型细分
`--detailed`		显示所有服务的使用类型详情
`--json`	`-j`	以JSON格式输出

Common Service Names

常用服务名称

When using

--service

, use the exact AWS service names:

Common Name	AWS Service Name
OpenSearch	`Amazon OpenSearch Service`
DocumentDB/MongoDB	`Amazon DocumentDB (with MongoDB compatibility)`
EC2 Compute	`Amazon Elastic Compute Cloud - Compute`
EC2 Other (EBS, NAT)	`EC2 - Other`
EFS	`Amazon Elastic File System`
S3	`Amazon Simple Storage Service`
RDS	`Amazon Relational Database Service`
EKS	`Amazon Elastic Container Service for Kubernetes`
VPC	`Amazon Virtual Private Cloud`
Bedrock	`Amazon Bedrock`
Lambda	`AWS Lambda`
CloudWatch	`AmazonCloudWatch`

使用

--service

选项时，请使用准确的AWS服务名称：

常用名称	AWS服务名称
OpenSearch	`Amazon OpenSearch Service`
DocumentDB/MongoDB	`Amazon DocumentDB (with MongoDB compatibility)`
EC2计算	`Amazon Elastic Compute Cloud - Compute`
EC2其他（EBS、NAT）	`EC2 - Other`
EFS	`Amazon Elastic File System`
S3	`Amazon Simple Storage Service`
RDS	`Amazon Relational Database Service`
EKS	`Amazon Elastic Container Service for Kubernetes`
VPC	`Amazon Virtual Private Cloud`
Bedrock	`Amazon Bedrock`
Lambda	`AWS Lambda`
CloudWatch	`AmazonCloudWatch`

Understanding Usage Types

理解使用类型

Common usage type patterns:

Pattern	Meaning
`BoxUsage:*`	EC2 instance hours (e.g., `BoxUsage:m7i.large` )
`ESInstance:*`	OpenSearch instance hours
`EBS:VolumeUsage.*`	EBS storage (e.g., `EBS:VolumeUsage.gp3` )
`TimedStorage-ByteHrs`	S3/EFS storage capacity
`DataTransfer-*`	Data transfer costs
`NatGateway-*`	NAT Gateway costs
`VpcEndpoint-*`	VPC Endpoint costs
`-input-tokens` / `-output-tokens`	Bedrock token usage
`Elastic*Usage`	DocumentDB Elastic costs

常见的使用类型模式：

模式	含义
`BoxUsage:*`	EC2实例时长（如 `BoxUsage:m7i.large` ）
`ESInstance:*`	OpenSearch实例时长
`EBS:VolumeUsage.*`	EBS存储（如 `EBS:VolumeUsage.gp3` ）
`TimedStorage-ByteHrs`	S3/EFS存储容量
`DataTransfer-*`	数据传输成本
`NatGateway-*`	NAT网关成本
`VpcEndpoint-*`	VPC终端节点成本
`-input-tokens` / `-output-tokens`	Bedrock令牌使用量
`Elastic*Usage`	DocumentDB Elastic成本

Prerequisites

前提条件

AWS CLI configured with appropriate credentials
IAM permissions for
```
ce:GetCostAndUsage
```

已配置具有适当凭证的AWS CLI
拥有
```
ce:GetCostAndUsage
```
的IAM权限

Example Workflow

示例工作流

First, get service-level overview:

bash

python3 <skill-path>/scripts/cost_query.py --min-cost 5

Identify high-cost services, then drill down:

bash

python3 <skill-path>/scripts/cost_query.py --service "Amazon OpenSearch Service" --min-cost 1

For comprehensive analysis, use detailed mode:

bash

python3 <skill-path>/scripts/cost_query.py --detailed --min-cost 5

首先，获取服务级概览：

bash

python3 <skill-path>/scripts/cost_query.py --min-cost 5

识别高成本服务，然后深入查看：

bash

python3 <skill-path>/scripts/cost_query.py --service "Amazon OpenSearch Service" --min-cost 1

如需全面分析，使用详细模式：

bash

python3 <skill-path>/scripts/cost_query.py --detailed --min-cost 5