How do you effectively determine which autoscaling signals will truly optimize your infrastructure's responsiveness without incurring unnecessary costs from "over-scaling"? Furthermore, Google Cloud utilizes a policy-based approach within Managed Instance Groups (MIGs) to automatically add or remove VM instances based on real-time demand. Why is understanding the relationship between cool-down periods and scaling signals so critical for maintaining a stable, production-ready environment?