
Developed two cross-repository features to enhance observability and proactive maintenance within the sonic-net ecosystem. In sonic-utilities, extended the portstat tool to support Forward Error Correction Frame Loss Rate (FLR) statistics, introducing new columns for both observed and predicted FLR, updating data structures, and providing comprehensive tests and documentation. In sonic-swss, implemented Lua-based FLR monitoring integrated with orchagent, leveraging linear regression on codeword error distributions to enable predictive analytics for network reliability. The work demonstrated expertise in C++ development, Lua scripting, and data analysis, resulting in improved network monitoring capabilities and faster fault isolation without addressing major bug fixes this period.
Month: 2025-10 — Two cross-repo features delivered to strengthen FLR observability and proactive maintenance across sonic-net projects. No major bugs fixed this period. Impact includes improved network reliability and faster fault isolation through enhanced visibility, accurate FLR measurements, and forward-looking predictions. Technologies/skills demonstrated include Lua scripting, orchestration integration (orchagent), data-structure/formatting enhancements, testing/documentation, and applying linear regression to codeword error distributions for FLR prediction.
Month: 2025-10 — Two cross-repo features delivered to strengthen FLR observability and proactive maintenance across sonic-net projects. No major bugs fixed this period. Impact includes improved network reliability and faster fault isolation through enhanced visibility, accurate FLR measurements, and forward-looking predictions. Technologies/skills demonstrated include Lua scripting, orchestration integration (orchagent), data-structure/formatting enhancements, testing/documentation, and applying linear regression to codeword error distributions for FLR prediction.

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