vhive-serverless/invitro
Jan 2025 – Jan 2025
1 Month active
Languages Used
MarkdownPythonShellYAML
Technical Skills
BenchmarkingCI/CDData AnalysisDocumentationPerformance AnalysisPython
L Lakshmanan
PROFILE
L Lakshmanan
During January 2025, S2760012 enhanced the mapper tool in the vhive-serverless/invitro repository to improve the accuracy and reliability of the vSwarm benchmark. Their work focused on refining percentile calculations for memory and duration, simplifying logic by removing the unique assignment flag, and introducing new error metrics and plotting features to increase failure visibility. They expanded end-to-end tests and improved CI coverage, ensuring earlier detection of performance regressions. Using Python, YAML, and shell scripting, S2760012 also updated documentation and strengthened error handling in proxy function selection, resulting in more robust benchmarking workflows and higher data quality for performance analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
853
Activity Months1
Your Network
34 people
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for vhive-serverless/invitro. Focused on mapper tool enhancements for the vSwarm benchmark to boost accuracy, reliability, and maintainability. Key work delivered through two commits included documentation updates, core logic refinements, refined percentile calculations for memory and duration, removal of the unique assignment flag, new error metrics and plotting capabilities, and expanded end-to-end tests with improved CI coverage. Additional improvements encompassed better error handling and robustness in proxy function selection. Impact: more trustworthy benchmark results, earlier detection of performance regressions, and faster iteration cycles. Skills demonstrated: Python tool development, benchmarking methodology, data quality controls, test automation, CI integration, and clear documentation.
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for vhive-serverless/invitro. Focused on mapper tool enhancements for the vSwarm benchmark to boost accuracy, reliability, and maintainability. Key work delivered through two commits included documentation updates, core logic refinements, refined percentile calculations for memory and duration, removal of the unique assignment flag, new error metrics and plotting capabilities, and expanded end-to-end tests with improved CI coverage. Additional improvements encompassed better error handling and robustness in proxy function selection. Impact: more trustworthy benchmark results, earlier detection of performance regressions, and faster iteration cycles. Skills demonstrated: Python tool development, benchmarking methodology, data quality controls, test automation, CI integration, and clear documentation.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShellYAML
Technical Skills
BenchmarkingCI/CDData AnalysisDocumentationPerformance AnalysisPythonTesting
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