AWS Automation Case Study

In expanding usage of cloud computing, efficientive resource management is key to optimizing costs and ensuring smooth operations. Amazon Web Services offers more than 200 of services, including EC2 instances, which are fundamental to many cloud infrastructures. However, managing numerous EC2 instances manually can be cumbersome and prone to human error. This is where automation comes to the rescue, particularly with Python scripting, to automate the tagging process. Auto-tagging EC2 instances with essential metadata like owner information can greatly enhance visibility and accountability within a cloud environment. By automatically tagging instances with the owner's details, teams can easily identify responsible parties for each resource, aiding in troubleshooting, cost allocation, and compliance. Python, with its simplicity and versatility, is an excellent choice for implementing automation workflows in AWS. Leveraging AWS SDK for Python (Boto3) , developers can interact with AWS