Cloud infrastructure environments across AWS, GCP, and Kubernetes suffer from hidden cost leaks due to idle resources, orphaned volumes/IPs, and rigid time-based schedulers. Existing cost management tools only provide advisory insights without automated safe execution. Developers lose productivity when environments are stopped unexpectedly, and reactivation requires complex workflows. There is a need for an intelligent, automated engine that detects idle workloads in real-time, safely stops them, sweeps ghost resources, and enables instant developer reactivation while providing measurable financial and carbon savings.
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