A typical flow of this architecture is to extract a pre-trained model (DE serialize) as a pickle file and embed it into the application framework such as Django.
- Easy architecture
- Predictions on the fly
- Software processes, and deployment process has to be carefully extracted. For e.g. extracting pickle file on 64 bit and using it on 32 bit might have some issues.
- Model re-training and deployment will require an app update and a new release. With dynamically changing trends in datasets, this can become a problem.