During April 2025, Deepti enhanced the awslabs/cid-framework repository by building robust service quota data collection features using Python and AWS. She implemented regional retrieval of both historical quota changes and current quota values, enabling comprehensive data coverage across all specified regions. Her approach included adding granular error handling for individual quota lookups and per-region processing, which improved system resilience and prevented cascading failures. Deepti also clarified S3 object key naming conventions to ensure consistent data storage and facilitate downstream processing. This work deepened the framework’s data fidelity and operational visibility, supporting more effective quota governance and capacity planning in cloud environments.