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1 points, 0 comments on Hacker News
1 points, 0 comments on Hacker News
Tired of deployments eating up your day? Stop wasting hours. I'm going to show you how to take your Python ML model from a Jupyter notebook to a live, production-ready API in just 10 minutes.
Did your ML model look amazing in your notebook but tank in the real world? Good. Let's talk about the nasty surprises that trip up model deployments and why that "Train & Forget" approach is bleeding companies dry.
A product search, a filter list that kept growing, and a status code I hadn't seen in years. Filters went in the query string, the way they always do. That held up fine until someone saved a "filter set" with a few hundred SKUs in it and the endpoint started answering with 414.