https://stacksimplify.com/tags/ml-serving/Recent content in ML Serving on StackSimplify | DevOps & Cloud Education by Kalyan ReddyHugo -- gohugo.ioen-usTue, 14 Apr 2026 00:00:00 +0000https://stacksimplify.com/blog/transformer-predictor-pattern/Tue, 14 Apr 2026 00:00:00 +0000https://stacksimplify.com/blog/transformer-predictor-pattern/Your ML model expects clean features. Your API receives raw data. Where does the preprocessing live? Every team gets this wrong the first time. They stuff everything into one container: data validation, feature engineering, ML inference, output formatting. It works. Until it doesn’t. The Problem with One Container Model retrained? Rebuild the whole container. Feature logic changed? Rebuild the whole container. Need to scale inference independently? Everything scales together. Or breaks together.