Python SAM Lambda module for generating an Excel cost report with graphs, including month on month cost changes. Uses the AWS Cost Explorer API for data.
This sample code is made available under a modified MIT license. See the LICENSE file.
- AWS Lambda Invocation
- Usually Free
- Amazon SES
- Usually Free
- Amazon S3
- Minimal usage
- AWS Cost Explorer API calls
- awscli
- Configure AWS credentials for target account
- run
aws configure
- run
- Verfied Amazon SES Sender email
- If you verify an email, you can send from/to that address.
- To send to other addresses, you need to move SES out of sandbox mode.
Docker (optional for building the lambda python package with updated https://pypi.python.org/ third-party libraries)
Run build.sh to build a new lambda deployment package. This requires Docker, as it builds the package in an Amazon Linux container.
sh build.sh
Coming soon...
Update the values in deploy.sh for your AWS account details.
Variable | Description |
---|---|
S3_BUCKET | S3 Bucket to use |
SES_SEND | Email list to send to (comma separated) |
SES_FROM | SES Verified Sender Email |
SES_REGION | SES Region |
COST_TAGS | List Of Cost Tag Keys (comma separated) |
CURRENT_MONTH | true / false for if report does current partial month |
And then run sh deploy.sh
- Create a lambda function (python 3.6 runtime)
- Create a lambda IAM execution role with ce:, ses:, s3:, organizations:ListAccounts
- Upload zip to console from https://s3.amazonaws.com/aws-cost-explorer-report-bin/lambda.zip
- Update ENV Variables in Lambda console
- Detials in table above.
- Create a trigger (CloudWatch Event)
Once the Lambda is created, find it in the AWS Lambda console. You can create ANY test event (as the event content is ignored), and hit the test button for a manual run.
https://docs.aws.amazon.com/lambda/latest/dg/tutorial-scheduled-events-test-function.html
Edit the main_handler
segment of src/lambda.py
def main_handler(event=None, context=None):
costexplorer = CostExplorer(CurrentMonth=False)
#Default addReport has filter to remove Credits / Refunds / UpfrontRI
costexplorer.addReport(Name="Total", GroupBy=[],Style='Total')
costexplorer.addReport(Name="TotalChange", GroupBy=[],Style='Change')
costexplorer.addReport(Name="TotalInclCredits", GroupBy=[],Style='Total',NoCredits=False)
costexplorer.addReport(Name="TotalInclCreditsChange", GroupBy=[],Style='Change',NoCredits=False)
costexplorer.addReport(Name="Credits", GroupBy=[],Style='Total',CreditsOnly=True)
costexplorer.addReport(Name="RIUpfront", GroupBy=[],Style='Total',UpfrontOnly=True)
costexplorer.addRiReport(Name="RICoverage")
costexplorer.addReport(Name="Services", GroupBy=[{"Type": "DIMENSION","Key": "SERVICE"}],Style='Total')
costexplorer.addReport(Name="ServicesChange", GroupBy=[{"Type": "DIMENSION","Key": "SERVICE"}],Style='Change')
costexplorer.addReport(Name="Accounts", GroupBy=[{"Type": "DIMENSION","Key": "LINKED_ACCOUNT"}],Style='Total')
costexplorer.addReport(Name="AccountsChange", GroupBy=[{"Type": "DIMENSION","Key": "LINKED_ACCOUNT"}],Style='Change')
costexplorer.addReport(Name="Regions", GroupBy=[{"Type": "DIMENSION","Key": "REGION"}],Style='Total')
costexplorer.addReport(Name="RegionsChange", GroupBy=[{"Type": "DIMENSION","Key": "REGION"}],Style='Change')
if os.environ.get('COST_TAGS'): #Support for multiple/different Cost Allocation tags
for tagkey in os.environ.get('COST_TAGS').split(','):
tabname = tagkey.replace(":",".") #Remove special chars from Excel tabname
costexplorer.addReport(Name="{}".format(tabname)[:31], GroupBy=[{"Type": "TAG","Key": tagkey}],Style='Total')
costexplorer.addReport(Name="Change-{}".format(tabname)[:31], GroupBy=[{"Type": "TAG","Key": tagkey}],Style='Change')
costexplorer.generateExcel()
return "Report Generated"