A new Kubernetes Working Group (WG) has been formed to focus on integrating Checkpoint/Restore functionality into Kubernetes. This initiative aims to explore various use cases through community discussion. These use cases include optimizing resource usage for interactive workloads like Jupyter notebooks and AI chatbots. It also addresses accelerating the startup of applications with lengthy initialization periods. Furthermore, the WG will investigate fault tolerance for long-running tasks through periodic checkpointing. Interruption-aware scheduling, allowing preemption of lower-priority pods while preserving application state, is another key area. Pod migration across nodes for load balancing and maintenance without service disruption is also a goal. Additionally, enabling forensic checkpointing for security incident analysis is being considered. The working group seeks to bridge discussions between the Kubernetes community and the Checkpoint/Restore in Userspace (CRIU) ecosystem. Projects like CRIU, checkpointctl, criu-coordinator, and checkpoint-restore-operator are relevant to these use cases. Interested contributors can join meetings, participate on Slack, or use the mailing list to engage with the WG.