Announcing the Checkpoint/Restore Working Group

The community around Kubernetes includes a number of Special Interest Groups (SIGs) and Working Groups (WGs) facilitating discussions on important topics between interested contributors. Today we would like to announce the new Kubernetes Checkpoint Restore WG focusing on the integration of Checkpoint/Restore functionality into Kubernetes. Motivation and use cases There are several high-level scenarios discussed in the working group: Optimizing resource utilization for interactive workloads, such as Jupyter notebooks and AI chatbots Accelerating startup of applications with long initialization times, including Java applications and LLM inference services Using periodic checkpointing to enable fault-tolerance for long-running workloads, such as distributed model training Providing interruption-aware scheduling with transparent checkpoint/restore, allowing lower-priority Pods to be preempted while preserving the runtime state of applications Facilitating Pod migration across nodes for loa