
Worked on the IBM/velox repository to enhance performance monitoring by implementing instrumentation for measuring compression and decompression timing within the table writer. Leveraged C++ and data engineering skills to introduce new DataSink::Stats fields, including numCompressedBytes, wallRecodeTimeNs, and compressionTimeNs, enabling detailed tracking of compression impact on throughput and latency. Integrated these metrics into the TableWriter’s logging system, supporting end-to-end observability and facilitating data-driven performance tuning and capacity planning. This work provided a foundation for SLA and trend analysis by quantifying system metrics, focusing on improving transparency and actionable insights for ongoing optimization of data processing workflows.
March 2025 — IBM/velox: Delivered instrumentation to measure compression/decompression timing in the table writer, enabling enhanced observability and performance optimization. Key changes introduce DataSink::Stats fields numCompressedBytes, wallRecodeTimeNs, and compressionTimeNs, with TableWriter logging to support end-to-end monitoring and SLA/trend analysis. This supports data-driven performance tuning and capacity planning by quantifying compression impact on throughput and latency. Related work documented in commit 47aa2b533a25f308f1e73a0cdc591a4ca150748c (#12593).
March 2025 — IBM/velox: Delivered instrumentation to measure compression/decompression timing in the table writer, enabling enhanced observability and performance optimization. Key changes introduce DataSink::Stats fields numCompressedBytes, wallRecodeTimeNs, and compressionTimeNs, with TableWriter logging to support end-to-end monitoring and SLA/trend analysis. This supports data-driven performance tuning and capacity planning by quantifying compression impact on throughput and latency. Related work documented in commit 47aa2b533a25f308f1e73a0cdc591a4ca150748c (#12593).

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