This presentation will delve into practical strategies for significantly reducing the operational costs of Kubernetes clusters,
particularly those used for personal testing and development. We will explore how to leverage intelligent shutdown mechanisms, such as scheduling-based node termination, to minimize unnecessary resource consumption during off-peak hours or weekends. By implementing these cost-saving measures, developers can maintain a productive environment while optimizing their cloud expenditure. The presentation will also discuss best practices for ensuring cluster availability and performance during active development periods.