
Worked on expanding the DataDog/terraform-provider-datadog repository by implementing Product Scales support for Real User Monitoring (RUM) and Product Analytics retention, enabling users to configure event processing and data retention with greater precision. This involved schema design in Go, API integration, and updates to documentation and test assets to ensure traceability and backward compatibility. Additionally, contributed to DataDog/documentation by correcting metric documentation for rum.measure.session.action, aligning available dimensions with actual reporting to improve data quality and user guidance. Demonstrated skills in Go programming, Terraform provider development, and technical documentation, focusing on maintainability, compliance, and clarity for end users.
October 2025 monthly summary focused on delivering accurate Real User Monitoring documentation in DataDog/documentation by aligning metric docs with actual reporting and removing non-existent dimensions.
October 2025 monthly summary focused on delivering accurate Real User Monitoring documentation in DataDog/documentation by aligning metric docs with actual reporting and removing non-existent dimensions.
Month: 2025-08 — Focused on expanding Datadog Terraform provider capabilities for RUM and Product Analytics, delivering Product Scales support and improved data retention configuration. Key achievements include schema enhancements, documentation and test updates, and clear traceability to the commit implementing the feature. No critical bugs reported this month in the related areas. Overall impact: enables customers to configure RUM event processing and Product Analytics retention more precisely, improving scalability, compliance, and data governance while preserving existing workflows. Technologies and skills demonstrated: Terraform provider development, Datadog RUM and Product Analytics domains, API/schema design, doc and test asset updates, and CI/test cassette management.
Month: 2025-08 — Focused on expanding Datadog Terraform provider capabilities for RUM and Product Analytics, delivering Product Scales support and improved data retention configuration. Key achievements include schema enhancements, documentation and test updates, and clear traceability to the commit implementing the feature. No critical bugs reported this month in the related areas. Overall impact: enables customers to configure RUM event processing and Product Analytics retention more precisely, improving scalability, compliance, and data governance while preserving existing workflows. Technologies and skills demonstrated: Terraform provider development, Datadog RUM and Product Analytics domains, API/schema design, doc and test asset updates, and CI/test cassette management.

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