Writing simple unary RPC for machine learning applications with gRPC in Python

Writing a scalable application needs a better design principle. Let's say we want to design a e-Commerce application, it may have a different set of clients (browser, mobile device, etc.), also in the middle of the development stage a deep-learning based recommendation system which works on images to extract product information needs to be written to improve the user experience, but the main application was written in PHP. To make the design as modular as possible, it's better to choose a microservices based design strategy instead of writing the complete application as one cohesive unit, sharing the same memory space (monolith). If we want to extract car models from image data, we can solve the task with two steps, first, we localize the cars with semantic segmentation, finally, for each segmented car, we apply a classification model to get the car model. A simple scenario with microservices architecture would be, team 1 is working on the segmentation model which they developed and deployed with microservice 1.