However, handling growth isn’t just resource scaling, but also artifact management. Managing one hundred models is very different from managing one model. With one model, you can, perhaps, manually monitor this model’s performance and manually update the model with new data. Since there’s only one model, you can just have a file that helps you reproduce this model whenever needed. However, with one hundred models, both the monitoring and retraining aspect will need to be automated. You’ll need a way to manage the code generation so that you can adequately reproduce a model when you need to.
