Matt Segal 11/21/2021

DevOps in academic research

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A former web developer turned 'Research DevOps Specialist' details his 18-month experience applying DevOps practices to an academic infectious disease modeling project. The article covers improving a fragile, 20k-line Python codebase for simulating TB and COVID-19 spread through techniques like workflow mapping, automated testing, performance optimization, task automation, and data management, demonstrating the value of software engineering in scientific research.

DevOps in academic research

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