Harness Intelligent Cloud AutoStopping Rules offer an automated solution for managing idle cloud resources, helping businesses reduce cloud costs by up to 70% by ensuring resources run only when needed. These rules address the issue of cloud cost overruns, often caused by idle resources, by dynamically detecting idle times and shutting down or terminating resources accordingly. They allow workloads to run on fully orchestrated spot instances without interruptions and provide a user-friendly dashboard for managing rules. Unlike traditional resource schedulers, AutoStopping Rules allow for better prediction of idle times and access to stopped machines. They can be integrated seamlessly with existing infrastructure and are particularly useful for non-production workloads, offering significant savings and operational efficiency. The rules support Kubernetes clusters on AWS, GCP, and Azure, and can be configured with advanced settings like ECG heartbeat agents and fixed schedules, providing flexibility and control over cloud resources. Additionally, AutoStopping Rules complement autoscaling tools by focusing on cost savings and resource management at a granular level, making them a powerful tool in cloud financial operations.