
Mael Lilensten enhanced the DataDog/documentation repository by delivering targeted improvements to Real User Monitoring (RUM) documentation over five months. He focused on clarifying retention periods, refining metric naming, and correcting unit specifications to ensure documentation accurately reflected product behavior and reduced user confusion. Using Markdown and technical writing skills, Mael collaborated across teams to align documentation with evolving product standards, implementing version-controlled updates and traceable commit references. His work addressed onboarding efficiency, governance, and data quality by clarifying retention filters and data lifecycle guidance, demonstrating a methodical approach to documentation governance and a strong understanding of product requirements and user needs.

In September 2025, delivered a documentation accuracy improvement for RUM retention filters in the DataDog/documentation repository. Fixed a unit specification regression and corrected the example to indicate that the duration value is entered in nanoseconds without units. The change ensures the docs reflect the actual implementation and prevents misconfigurations.
In September 2025, delivered a documentation accuracy improvement for RUM retention filters in the DataDog/documentation repository. Fixed a unit specification regression and corrected the example to indicate that the duration value is entered in nanoseconds without units. The change ensures the docs reflect the actual implementation and prevents misconfigurations.
July 2025 monthly summary focusing on documentation work for DataDog. Delivered targeted improvements to RUM retention filters documentation, clarifying default catch-all behavior and how attributes that update over time can affect configuration and data quality. The work reduces misconfigurations and aligns guidance with product capabilities.
July 2025 monthly summary focusing on documentation work for DataDog. Delivered targeted improvements to RUM retention filters documentation, clarifying default catch-all behavior and how attributes that update over time can affect configuration and data quality. The work reduces misconfigurations and aligns guidance with product capabilities.
May 2025 monthly summary for DataDog/documentation: Delivered a targeted documentation fix to ensure metric naming accuracy for Time spent on the current view, improving user clarity and reducing potential support queries. No code changes beyond documentation; the change is tracked under issue #29112.
May 2025 monthly summary for DataDog/documentation: Delivered a targeted documentation fix to ensure metric naming accuracy for Time spent on the current view, improving user clarity and reducing potential support queries. No code changes beyond documentation; the change is tracked under issue #29112.
Concise monthly summary for 2025-04 focusing on RUM data retention documentation in the DataDog/documentation repository. Delivered enhancements clarifying retention periods for all RUM event types and updated retention-based filters to improve user understanding of data availability and how retention rules apply. The work supports governance, onboarding, and customer success by reducing ambiguity around data lifecycle.
Concise monthly summary for 2025-04 focusing on RUM data retention documentation in the DataDog/documentation repository. Delivered enhancements clarifying retention periods for all RUM event types and updated retention-based filters to improve user understanding of data availability and how retention rules apply. The work supports governance, onboarding, and customer success by reducing ambiguity around data lifecycle.
January 2025 — DataDog/documentation: Focused on improving clarity and accuracy in Real User Monitoring (RUM) and Mobile Session Replay docs. Key features delivered: updated RUM docs to rename the attribute from 'duration' to 'resource.duration'; removed the outdated 'preview' callout for Mobile Session Replay to reflect GA status and pricing clarity. Major bugs fixed: none reported this period; changes are documentation-only. Overall impact: aligns docs with the current product model, reduces developer confusion, and improves pricing transparency and onboarding efficiency. Technologies/skills demonstrated: documentation governance, version-controlled updates, traceability to commit references, cross-team collaboration (Docs/Engineering), adherence to product naming standards. Commits linked: c38b3d38ad21c2d3fc323b6414f46377fa2e5b78; 92691c34559fd7a75225cb9deb10ce980013ab03.
January 2025 — DataDog/documentation: Focused on improving clarity and accuracy in Real User Monitoring (RUM) and Mobile Session Replay docs. Key features delivered: updated RUM docs to rename the attribute from 'duration' to 'resource.duration'; removed the outdated 'preview' callout for Mobile Session Replay to reflect GA status and pricing clarity. Major bugs fixed: none reported this period; changes are documentation-only. Overall impact: aligns docs with the current product model, reduces developer confusion, and improves pricing transparency and onboarding efficiency. Technologies/skills demonstrated: documentation governance, version-controlled updates, traceability to commit references, cross-team collaboration (Docs/Engineering), adherence to product naming standards. Commits linked: c38b3d38ad21c2d3fc323b6414f46377fa2e5b78; 92691c34559fd7a75225cb9deb10ce980013ab03.
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