
Over a three-month period, Chodono enhanced the awslabs/cid-framework and aws-samples/aws-cudos-framework-deployment repositories by building analytics and data collection features for AWS WorkSpaces and End-User Computing environments. He developed inventory scanning and usage metrics pipelines using Python and AWS Lambda, integrating CloudFormation and Athena for secure, queryable data storage. His work included schema refinements, IAM policy updates, and the addition of CloudWatch metrics collection, enabling cost optimization and capacity planning. Chodono also improved YAML configuration for dashboard compatibility, supporting detailed usage analysis. The engineering demonstrated depth in cloud cost management, data engineering, and maintainable infrastructure-as-code practices.

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.
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.
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.
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.
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