Command Line utility for Provides aws cost very easy to see.
Supports python 3.8 or later.
$ pip install awscostshow cost latest 5 months.
$ awscost
key 2019-07 2019-08 2019-09 2019-10 2019-11 2019-12
-------------------------------------- --------- --------- --------- --------- --------- ---------
Total 348.34 97.4 98.46 106.47 67.25 7.84
EC2 - Other 34.28 34.28 33.2 34.28 33.63 3.01
Amazon Elastic Compute Cloud - Compute 17.11 17.11 16.56 17.11 17.13 1.47
AWS Cost Explorer 0.56 1.44
Tax 25.8 7.22 7.27 9.72 6.12 0.69
AWS CloudTrail 3.29 3.21 4.15 5.57 4.44 0.61
AWS Key Management Service 0 0 2.8 4 4 0.35
AmazonCloudWatch 1.5 0.01 0 0 0.88 0.11
Amazon Route 53 0.1 0.1 0.1 0.1 0.1 0.1
Amazon Simple Storage Service 0.25 0.24 0.27 0.45 0.4 0.05
AWS Lambda 0 0 0 0 0 0
Amazon DynamoDB 0 0 0 0 0
Amazon Elastic File System 0 0 0 0 0 0
Amazon SageMaker 266 35.22 34.11 35.22 0
Amazon Simple Notification Service 0 0 0
Amazon Polly 0
Amazon Simple Queue Service 0show cost latest 3 days, group by SERVICE and operation.
$ awscost -g DAILY -p 3 -d SERVICE -d OPERATION
key 2019-12-01 2019-12-02 2019-12-03
------------------------------------------------------------ ------------ ------------ ------------
Total 2.87 2.1 2.87
GetCostAndUsage,AWS Cost Explorer 0.02 1.42
NatGateway,EC2 - Other 1.08 1.08 0.77
RunInstances,Amazon Elastic Compute Cloud - Compute 0.55 0.55 0.37
None,AWS CloudTrail 0.22 0.22 0.17
Unknown,AWS Key Management Service 0.13 0.13 0.09
Unknown,AmazonCloudWatch 0.04 0.04 0.03
CreateVolume-Gp2,EC2 - Other 0.03 0.03 0.01
PutObject,Amazon Simple Storage Service 0.02 0.02 0.01
NoOperation,Tax 0.25
...- AZ
- INSTANCE_TYPE
- LINKED_ACCOUNT
- OPERATION
- PURCHASE_TYPE
- SERVICE
- USAGE_TYPE
- PLATFORM
- TENANCY
- RECORD_TYPE
- LEGAL_ENTITY_NAME
- DEPLOYMENT_OPTION
- DATABASE_ENGINE
- CACHE_ENGINE
- INSTANCE_TYPE_FAMILY
- REGION
- BILLING_ENTITY
- RESERVATION_ID
- SAVINGS_PLANS_TYPE
- SAVINGS_PLAN_ARN
- OPERATING_SYSTEM
see. https://docs.aws.amazon.com/aws-cost-management/latest/APIReference/API_GetDimensionValues.html
awscost --filter '{
"Not": {
"Dimensions": {
"Key": "RECORD_TYPE",
"Values": ["Credit", "Refund", "Upfront"]
}
}
}'default:
metrics: AmortizedCost
filter:
Dimensions:
Key: RECORD_TYPE
Values:
- Usage
- Tax
discount:
filter:
Dimensions:
Key: RECORD_TYPE
Values:
- Credit
- Refund
- Upfront
ec2:
filter:
Dimensions:
Key: SERVICE
Values:
- "EC2 - Other"
- "Amazon Elastic Compute Cloud - Compute"
You can exec command as below.
$ awscost --profile default
$ awscost --profile discount
$ awscost --profile ec2You can set up a group by tag.
Currently, this cannot be achieved using only the command line.
Write the following in yaml in $HOME/.awscost
The following is an example of grouping by the tag "Product"
tag:
tags:
- Product
dimensions: []
You can exec command as below.
$ awscost --profile tagexample, use -t tsv.
default is simple.
$ awscost -d SERVICE -d OPERATION -t tsv
key 01-24 01-25 01-26 01-27 01-28 01-29 01-30 01-31 02-01 02-02
Total 2 2 2 2 2.02 2.01 2.01 2.01 2.5 1.67
EC2 - Other,NatGateway 1.08 1.08 1.08 1.08 1.08 1.08 1.08 1.08 1.08 0.9
Amazon Elastic Compute Cloud - Compute,RunInstances 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.46
...- simple(default)
- plain
- github
- grid
- fancy_grid
- pipe
- orgtbl
- jira
- presto
- psql
- rst
- mediawiki
- moinmoin
- youtrack
- html
- latex
- latex_raw
- latex_booktabs
- textile
- tsv
aws auth support following.
- environment variables
- profile(use --aws-profile option.)
- instance profile
from awscost.cost_explorer import CostExplorer
from dateutil.relativedelta import relativedelta
from datetime import datetime
start = (datetime.today() - relativedelta(months=3)).strftime("%Y-%m-01")
end = datetime.today().strftime("%Y-%m-01")
cost_explorer = CostExplorer(
granularity="MONTHLY",
start=start,
end=end,
dimensions=["SERVICE"],
metrics="UnblendedCost",
threshold=1.0,
).get_cost_and_usage_total_and_group_by()
# return dict data.
cost_explorer # =>
# { 'AWS CloudTrail': {'2019-11': 4.44, '2019-12': 6.17, '2020-01': 4.38},
# 'AWS Lambda': {'2019-11': 0.0, '2019-12': 0.0, '2020-01': 0.0},
# ...
# 'Total': {'2019-11': 67.15, '2019-12': 72.22, '2020-01': 68.11}}...
import matplotlib.pyplot as plt
plt.figure(figsize=(25, 15), dpi=100)
plt.xlabel('month', fontsize=16)
plt.ylabel('$', fontsize=16)
plt.grid(True)
for i, (service_name, v) in enumerate(cost_explorer.items()):
left = list(v.keys())
height = list(v.values())
plt.plot(left, height, linewidth=2, label=service_name, marker='o')
plt.legend(loc='best', fontsize=15, numpoints=5)
plt.show(){
"Version": "2012-10-17",
"Statement": [
{
"Sid": "xxxxxxxxx",
"Effect": "Allow",
"Action": [
"ce:GetCostAndUsage"
],
"Resource": "*"
}
]
}$ ./scripts/ci.sh install-test$ ./scripts/ci.sh run-testflake8 and black and pytest.
$ ./scripts/ci.sh releasegit tag and pypi release.