
Joseph Viggiano developed advanced CDN usage and performance analytics for the HTTPArchive/almanac.httparchive.org repository over a two-month period. He designed and implemented SQL queries to analyze metrics such as protocol usage, client hints, compression types, cache behavior, and security features, enabling year-over-year and trend analysis for CDN optimization. His work focused on expanding the analytics layer and integrating new queries into the Almanac data pipeline, supporting data-driven decision-making and improved performance reporting. Using SQL, data analysis, and database management skills, Joseph delivered robust analytics features without major bug fixes, demonstrating depth in data modeling and workflow integration.

January 2026 - Delivered new CDN Performance Analytics SQL Queries to measure protocol usage, compression adoption, cache behavior, and security features in the Almanac analytics stack. The implementation (commit b92fa4da7c914825ec295424091389a443f2ada1) enables data-driven CDN optimization and trend analysis, supporting more accurate performance reporting and steering optimization decisions. There were no major bugs fixed this month; efforts focused on expanding analytics capabilities and improving data quality. Impact: stronger visibility into CDN effectiveness, faster iteration cycles for performance improvements, and a more robust data pipeline. Technologies demonstrated: SQL analytics, data modeling, Git-based collaboration, and integration with the Almanac data workflow.
January 2026 - Delivered new CDN Performance Analytics SQL Queries to measure protocol usage, compression adoption, cache behavior, and security features in the Almanac analytics stack. The implementation (commit b92fa4da7c914825ec295424091389a443f2ada1) enables data-driven CDN optimization and trend analysis, supporting more accurate performance reporting and steering optimization decisions. There were no major bugs fixed this month; efforts focused on expanding analytics capabilities and improving data quality. Impact: stronger visibility into CDN effectiveness, faster iteration cycles for performance improvements, and a more robust data pipeline. Technologies demonstrated: SQL analytics, data modeling, Git-based collaboration, and integration with the Almanac data workflow.
December 2025 highlights: Delivered CDN Usage and Performance Analytics for 2025 for the HTTPArchive Almanac site. Implemented SQL queries to analyze CDN usage and performance metrics for 2025, including client hints, early hints, and compression types. Committed changes: 3781fe548d085161e8c21f4c4ace1326995f9204 (CDN 2025 SQL). Major bugs fixed: none identified this month. Overall impact: provides data-driven visibility into CDN performance for 2025, enabling optimization opportunities and better user experience. Technologies demonstrated: SQL analytics, data metrics design, and version-controlled development workflows.
December 2025 highlights: Delivered CDN Usage and Performance Analytics for 2025 for the HTTPArchive Almanac site. Implemented SQL queries to analyze CDN usage and performance metrics for 2025, including client hints, early hints, and compression types. Committed changes: 3781fe548d085161e8c21f4c4ace1326995f9204 (CDN 2025 SQL). Major bugs fixed: none identified this month. Overall impact: provides data-driven visibility into CDN performance for 2025, enabling optimization opportunities and better user experience. Technologies demonstrated: SQL analytics, data metrics design, and version-controlled development workflows.
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