Cloud computing offers the flexibility to scale resources on demand, and AWS's Instance Scheduler is a tool that efficiently manages this process by automatically shutting down and restarting EC2 and RDS instances, thereby reducing operational costs for resources not needed 24/7. This resource management is facilitated through the use of custom periods defined in a DynamoDB database and managed via a Python-based Scheduler CLI, which allows for the automation of these tasks through scripts. Users can tag resources with specific periods to control when they are active, such as shutting down overnight and on weekends, to optimize cost savings. The Instance Scheduler is deployed using a CloudFormation template within Octopus, and any potential errors in deployment, such as duplicate parameter values, are addressed with straightforward adjustments. The setup requires Python 3 and other tools installed on a Linux Worker, and it ensures idempotent deployments with the ability to update or create periods as necessary.