
Thomas Bertet developed and enhanced the RUM Profiler within the DataDog/browser-sdk repository, focusing on accurate performance monitoring and profiling across browser sessions. He implemented features such as clocks-based timing, session-aware profiling, and robust view correlation to improve data fidelity and resource efficiency. Using TypeScript and JavaScript, Thomas refactored core components to support profiling context, enriched event data with SDK identification, and ensured compatibility across browsers. His work included schema design, unit testing, and debugging, resulting in maintainable code that aligns profiling activity with user sessions and enables granular, reliable telemetry for performance analysis and optimization in production environments.

December 2025 monthly summary for DataDog/browser-sdk focusing on RUM profiler lifecycle and session-aware profiling. Delivered targeted changes to stop the RUM profiler when a user session expires and to revamp start/pause handling so profiling responds to session state changes, thereby aligning profiling activity with active sessions and reducing unnecessary resource usage.
December 2025 monthly summary for DataDog/browser-sdk focusing on RUM profiler lifecycle and session-aware profiling. Delivered targeted changes to stop the RUM profiler when a user session expires and to revamp start/pause handling so profiling responds to session state changes, thereby aligning profiling activity with active sessions and reducing unnecessary resource usage.
2025-09 monthly summary for DataDog/browser-sdk: Delivered a RUM Profiler enhancement to include view names as event attributes, enabling improved filtering and profiling granularity. Refactored buildProfileEventAttributes into its own module with unit tests and ensured accurate extraction and de-duplication of view names. No major regressions observed; maintained focus on performance monitoring improvements and code quality.
2025-09 monthly summary for DataDog/browser-sdk: Delivered a RUM Profiler enhancement to include view names as event attributes, enabling improved filtering and profiling granularity. Refactored buildProfileEventAttributes into its own module with unit tests and ensured accurate extraction and de-duplication of view names. No major regressions observed; maintained focus on performance monitoring improvements and code quality.
August 2025 monthly summary for DataDog/browser-sdk: Implemented a critical enhancement to the RUM Profiler to accurately correlate the latest active view across profiling sessions, ensuring the most recent view is tracked even as view changes and visibility toggles occur. Added end-to-end tests and updated internal logic to consistently capture the latest view entry, improving data integrity for performance profiling dashboards. Commit tied to this work: 606628c07660467a7b22322141c773a066a02e92 (PR #3776).
August 2025 monthly summary for DataDog/browser-sdk: Implemented a critical enhancement to the RUM Profiler to accurately correlate the latest active view across profiling sessions, ensuring the most recent view is tracked even as view changes and visibility toggles occur. Added end-to-end tests and updated internal logic to consistently capture the latest view entry, improving data integrity for performance profiling dashboards. Commit tied to this work: 606628c07660467a7b22322141c773a066a02e92 (PR #3776).
July 2025 — DataDog/browser-sdk: RUM Profiler enhancements delivered to improve data clarity and cross-browser robustness; default view naming and compatibility fixes, with updated tests. The changes reduce ambiguity in profiling data and increase reliability across browsers.
July 2025 — DataDog/browser-sdk: RUM Profiler enhancements delivered to improve data clarity and cross-browser robustness; default view naming and compatibility fixes, with updated tests. The changes reduce ambiguity in profiling data and increase reliability across browsers.
This month delivered significant observability and profiling improvements across DataDog/rum-events-format and DataDog/browser-sdk, enhancing SDK attribution, profiling reliability, and sampling stability.
This month delivered significant observability and profiling improvements across DataDog/rum-events-format and DataDog/browser-sdk, enhancing SDK attribution, profiling reliability, and sampling stability.
In May 2025, delivered a major upgrade to the RUM Profiler and long task correlation in the DataDog/browser-sdk, focusing on measurement reliability, data accuracy, and groundwork for improved profiling across sessions. Implemented a clocks-based time measurement system to replace direct performance.now() usage, and enhanced the Long Task Registry to correctly align long tasks with profiler traces using relative times. This work lays the foundation for more accurate profiling data and robust cross-session analysis.
In May 2025, delivered a major upgrade to the RUM Profiler and long task correlation in the DataDog/browser-sdk, focusing on measurement reliability, data accuracy, and groundwork for improved profiling across sessions. Implemented a clocks-based time measurement system to replace direct performance.now() usage, and enhanced the Long Task Registry to correctly align long tasks with profiler traces using relative times. This work lays the foundation for more accurate profiling data and robust cross-session analysis.
April 2025 monthly summary for DataDog/browser-sdk: Strengthened RUM Profiler reliability and data fidelity through enhanced data collection, visibility resilience, and targeted long-task prioritization. Implemented pause/resume profiling on page visibility changes and refined collection criteria to prioritize long-running profiles, reducing noise. Fixed interruptions in profiling due to visibility changes and ensured accurate profile collection after visibility transitions. These changes improved data quality, visibility of critical performance events, and overall resilience for user-centric performance monitoring, enabling faster triage and informed optimization decisions.
April 2025 monthly summary for DataDog/browser-sdk: Strengthened RUM Profiler reliability and data fidelity through enhanced data collection, visibility resilience, and targeted long-task prioritization. Implemented pause/resume profiling on page visibility changes and refined collection criteria to prioritize long-running profiles, reducing noise. Fixed interruptions in profiling due to visibility changes and ensured accurate profile collection after visibility transitions. These changes improved data quality, visibility of critical performance events, and overall resilience for user-centric performance monitoring, enabling faster triage and informed optimization decisions.
March 2025 monthly summary for DataDog/browser-sdk: Focused on enabling experimental RUM Profiler within the Browser SDK, laying groundwork for enhanced performance monitoring and debugging. Key outcomes include profiler integration with new track types, endpoint builders, and feature flags; refactors to RUM components to support profiling data paths; and updates to tests and deployment scripts to manage the profiler chunk. This work positions us to deliver richer telemetry and faster issue detection with minimal rollout risk.
March 2025 monthly summary for DataDog/browser-sdk: Focused on enabling experimental RUM Profiler within the Browser SDK, laying groundwork for enhanced performance monitoring and debugging. Key outcomes include profiler integration with new track types, endpoint builders, and feature flags; refactors to RUM components to support profiling data paths; and updates to tests and deployment scripts to manage the profiler chunk. This work positions us to deliver richer telemetry and faster issue detection with minimal rollout risk.
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