Carolyn enhanced observability in the ray-project/ray repository by developing a new dashboard feature that displays running tasks grouped by node, enabling operators to quickly identify task distribution and potential skews across clusters. She focused on Python for both backend logic and dashboard development, leveraging data visualization techniques to present actionable metrics. Carolyn also clarified the Active Tasks panel’s title and description, improving metric accuracy and user comprehension. Her work emphasized maintainability, with clear documentation and traceable commits. While the scope was focused, the feature addressed a concrete operational need, laying groundwork for broader dashboard coverage and improved troubleshooting workflows.