Harness Cloud AutoStopping and Kubernetes autoscaling can work together to enhance cloud cost efficiency by optimizing resource usage. Cloud AutoStopping focuses on halting idle resources, potentially reducing non-production costs by up to 80%, using AI and ML to manage idle times effectively. It supports major platforms like AWS, Azure, and Google Cloud, and offers more precise cost savings by scaling resources to zero when not needed. In contrast, Kubernetes autoscaling adjusts resource allocation based on demand, ensuring optimal performance and resource utilization. The combination of these solutions allows organizations to manage both production and non-production environments more intelligently, achieving significant cost savings and improving resource efficiency.