March 2026: EUC Dashboard enhancements (v1.2.0) implemented in aws-samples/aws-cudos-framework-deployment to improve visibility and control over WorkSpaces Applications. Key improvements include refined graph filters, renaming AppStream 2.0 references to WorkSpaces Applications for clarity, and expanded analytics on fleet utilization and performance. UX improvements were implemented to streamline resource management and boost user engagement.

Month: 2025-11 — Key dashboard upgrade delivered: EUC Dashboard v1.1.0 Enhancements for aws-samples/aws-cudos-framework-deployment. Implemented filter fixes, removal of obsolete variables, a new dataset join, and refined visual configurations and dataset identifiers to improve functionality, accuracy, and user experience. Work linked to Issue 362 and PR #1337, prepared for release with versioned artifacts.

June 2025 monthly summary for aws-samples/aws-cudos-framework-deployment: Focused on delivering End-User Computing Dashboard CUR1/CUR2 compatibility and enhanced YAML configuration. This work provides improved cost visibility and utilization analysis for EUC environments, enabling better decision-making and resource optimization. No major bugs fixed this month; primary emphasis on feature delivery and code quality through a commit-based workflow.

March 2025 monthly summary focused on delivering an analytics-driven capability for WorkSpaces usage within the cid-framework, highlighting key feature delivery, observed impact, and technical proficiency demonstrated. No critical bugs reported in this period.

February 2025 monthly summary: Delivered the AWS WorkSpaces inventory scanning capability within the cid-framework, expanding the data collection pipeline to capture WorkSpaces inventory, IAM permissions, a dedicated Glue table schema, and pricing data coverage, accompanied by tests to validate correctness. Implemented schema and Lambda refinements to improve data accuracy and reliability, including enabling the time module, correcting Athena table field names, and standardizing the lastconnection timestamp format. These changes enhance data completeness, enable better cost governance, and improve maintainability of the data ingestion workflow.