February 2026: Cluster Autoscaler delivered targeted enhancements to improve autoscaling accuracy, robustness, and scheduling efficiency. Consolidated three commits into a cohesive feature improvement that adjusts GCE target sizing for suspended instances, introduces a sizing and traversal iterator to reduce iterations, and strengthens API/scheduling behavior to prevent race conditions. Updated dependencies to support new fields required by the changes. These changes collectively improve production reliability, reduce unnecessary scaling actions, and enable faster, safer scaling decisions.

September 2025: Stabilized the Cluster Autoscaler in kubernetes/autoscaler by correcting work queue detection logic. Implemented a precise bug fix to ensure only Jobs with Completions nil are treated as work queues, preventing misclassification of Jobs with Completions=1 and reducing spurious scaling signals. The change improves reliability of autoscaling, node utilization, and operational predictability.

December 2024 (rancher/autoscaler): Focused on reliability and observability improvements in the autoscaler module. Delivered a targeted refactor of error handling and enhanced logging to aid debugging and preventive maintenance.