You are building a machine learning application that serves predictions to multiple product surfaces. The team wants to split the system into microservices for feature computation, model inference, orchestration, and monitoring, while keeping training and serving aligned.
Discuss the role of microservices in machine learning applications.
Service boundaries in ML systemsFeature store and inference service designTraining-serving consistencyOperational tradeoffs of microservices