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In the last article we talked about why ML is harder than regular software: code, data and environment all move at the same time. Today we're tackling the second one data with a tool called DVC (Data Version Control). Git is amazing for code, but it was designed for small text files. The moment you
We fitted the Ebbinghaus forgetting curve to 555,000 real fraud transactions and got R² = −0.31 — worse than a flat line. This result explains why calendar-based retraining fails in production and introduces a practical shock-detection approach that works in real systems. The post Why MLOps Retraini
I have been running ML pipelines in production for few years. Tens of millions of predictions a day, real money on the line, no tolerance for guesswork. PulseFlow started as something I built for myself. A reference architecture I kept recreating from scratch at every company because nothing open so