Hydrosphere is composed out of several microservices, united to efficiently serve and monitor machine learning models in production.


On a high level we can outline the following services.


Manager is a service component, responsible for managing Hydrosphere entities (models and applications), provisioning infrastructure resources and providing interfaces for interacting with Hydrosphere entities.


Gateway is a service component responsible for handling prediction requests and routing them among model services. Gateway maps model endpoint name to a corresponding container. Whenever it receives a request it communicates with that container by gRPC protocol.


UI is a service component responsible for showing off user-friendly interface for models, applications as well as monitoring charts and profiles.


Sonar is a service component responsible for monitoring your models during inference phase. It allows you to evaluate how your model behaves under production load, i.e. is there a concept drift occurred in the production data (so your model needs to be retrained); how many outliers are there in the production data; how distribution of your training data is compared with the distribution of the production data?

S3 Storage

S3 Storage is used by Sonar to store model training data and production requests data.