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From Internal Code to Production Framework: How PulseFlow Went Open Source in 24 Hours
엔터프라이즈급 MLOps 파이프라인, 24시간 만에 오픈소스 공개: PulseFlow의 탄생
Why it matters
PulseFlow addresses a critical gap in open-source ML by delivering production-grade code instead of toy projects. For junior engineers, it collapses weeks of scaffolding work into a single git clone. By combining FastAPI-based serving, Airflow orchestration, and integration with ARGUS-AI monitoring, it demonstrates that composable, enterprise-ready ML stacks are no longer locked behind proprietary solutions.
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PulseFlowMLOpsML pipelineOpen sourceAirflow