Finops Usecase 1

Note: Automation does not make any changes to the AWS resources nor cost.

Steps required to run the python code

• Install python3
• git clone git@github.com:BlogMedium/FinopsSeries-Usecase1.git
• Install the below library required to run the python code

pip3 install boto3
pip3 install json
pip3 install csv
pip3 install pandas
pip3 install matplotlib
pip3 install seaborn

• Makes changes to the below lines in the code Update the webhook for micorsoft teams

msg = pymsteams.connectorcard("https://outlook.office.com/webhook/XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX")

Update the S3 bucket name and Fileupload path for all the below lines appropriately in the code.

s3.Object('billing-dashboard', fileupload).upload_file(Filename='C:\\Users\\Administrator\\IdeaProjects\\billing\\'+ fileupload)

• Create AWS profile and replace the profiles name in

    profiles = ["dev", "test", "preprod", "prod"]

output

CSV file and bar chart will be created which consists for cost data for almost 6 months.