Developed enhanced monitoring capabilities for the kubernetes/kops repository by enabling CloudWatch metrics for the warm pool of an AWS Auto Scaling Group. Leveraging Go and Terraform, the work focused on integrating cloud infrastructure observability directly into the autoscaling lifecycle. This implementation provided improved visibility into warm pool readiness and capacity, allowing teams to set up dashboards and proactive alerts for scaling events. By surfacing detailed metrics, the solution supported data-driven autoscaling decisions and reduced the risk of capacity shortfalls. The approach demonstrated a practical application of AWS services and infrastructure-as-code principles to address real-world operational monitoring needs.