Worked on the rancher/autoscaler repository to deliver TemplateNodeInfo support for the Magnum cloud provider, focusing on enhancing node template visibility and resource utilization within Kubernetes clusters. The approach involved integrating with the OpenStack Compute V2 API to retrieve detailed flavor data, including CPU, RAM, disk, and labels, thereby improving the accuracy of autoscaling decisions. Leveraging Go for development and applying expertise in API and cloud provider integration, the work enabled the autoscaler to represent node resources more precisely. During the period, the focus remained on feature delivery and integration, with no major bugs reported and a single feature completed.