
Apoorv developed two cross-repository features to enhance observability and proactive maintenance for the sonic-net platform. In sonic-utilities, Apoorv extended the portstat utility 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. For sonic-swss, Apoorv implemented Lua-based FLR monitoring integrated with orchagent, leveraging linear regression on codeword error distributions to enable predictive analytics for network reliability. This work demonstrated depth in C++ development, Lua scripting, and data analysis, resulting in improved network monitoring and faster fault isolation without introducing regressions.
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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