
Davis Rule developed a feature for the DataDog/terraform-provider-datadog repository that introduced decimal sample_rate support for RUM retention filters, enabling more precise sampling and improved data fidelity in analytics. Working primarily in Go, Davis handled the end-to-end process, from design and data modeling to implementation and changelog documentation, ensuring clear commit traceability. The update enhanced compatibility with existing APIs and data structures, resulting in more accurate dashboards for customers. Davis applied backend development and API development skills, focusing on code quality and testing practices. The work demonstrated depth in provider extension and addressed a nuanced need for sampling precision.

January 2026 monthly summary for DataDog/terraform-provider-datadog: Delivered a key feature enhancing RUM retention filtering by enabling decimal sample_rate support, improving sampling precision and data structure compatibility. No major bugs fixed this month. Business impact includes more accurate RUM analytics and more reliable dashboards for customers; technical impact includes end-to-end feature delivery, clear commit traceability, and strengthened provider capabilities. Technologies/skills demonstrated: Go, Terraform provider development, data modeling, and code quality practices.
January 2026 monthly summary for DataDog/terraform-provider-datadog: Delivered a key feature enhancing RUM retention filtering by enabling decimal sample_rate support, improving sampling precision and data structure compatibility. No major bugs fixed this month. Business impact includes more accurate RUM analytics and more reliable dashboards for customers; technical impact includes end-to-end feature delivery, clear commit traceability, and strengthened provider capabilities. Technologies/skills demonstrated: Go, Terraform provider development, data modeling, and code quality practices.
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