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Developer grows 60-line Python script into full DevOps drift-detection tool in 3 months

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A developer expanded tfdrift, initially a minimal Python script, into a production-grade infrastructure drift-detection tool across eight releases over three months. Key additions included incremental scanning with file checksum caching, which reduced large repository re-scans to under 10 seconds by skipping unchanged workspaces. Parallel scanning further cut wait times, while a cost estimation module translated drift severity into dollar figures, drawing attention from finance stakeholders. Native GitHub Actions integration now surfaces drift results as inline annotations and Markdown summaries directly within CI pipelines. The project also introduced SQLite-backed drift history tracking, enabling teams to measure whether infrastructure drift is improving over time.

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Developer grows 60-line Python script into full DevOps drift-detection tool in 3 months · ShortSingh