Architecture

MOSTLY AI runs as a set of containerized applications and services that you can deploy in a Kubernetes cluster and maintain a fault-tolerant and highly available application.

Application Nodes

	Pod and image name	Description	Pod Lifecycle
Web frontend	mostly-ui `mostly-app-ui`	Contains the frontend of MOSTLY AI. Reachable over port `8080`.	Service
Backend	mostly-app `mostly-app-enterprise`	Contains the backend and public APIs of MOSTLY AI.	Service
Coordinator Service	mostly-coordinator `mostly-coordinator`	Component that takes all requests from the web application and coordinates execution of tasks on the main AI engine.	Service
Data discovery	mostly-core-api `mostly-core-api`	Component that reads metadata and analyzes data sources and destinations.	Service
Keycloak	mostly-keycloak `mostly-keycloak`	Keycloak is an open-source identity management, authentication, and authorization tool. This container has a pre-configured Keycloak instance for MOSTLY AI.	Service
PostgreSQL	mostly-psql `postgres`	Database instance of the system. Contains databases for app, coordinator, and Keycloak.	Service
MinIO	mostly-minio `minio`	Shared storage service.	Service

AI Worker nodes

	Pod and image name	Description	Pod Lifecycle
AI job	engine-task-<task-id> `mostly-core`	• Reads from data sources and writes into data destinations • Performs AI training and data generation. • Create Model and Data reports	Job

Third-party integrations and connections

Active Directory is an optional integration that can help you manage the authentication of users to MOSTLY AI. With this integration, end users do not need to create new credentials to log in to MOSTLY AI.

Image repository

The MOSTLY AI image repository contains the deployment images of all containers and makes it easy to deploy MOSTLY AI to various types of Kubernetes clusters.

Corporate databases

MOSTLY AI can connect to your internal databases (with the help of connectors) and read original data or deliver the generated synthetic data in the same or another database.

Cloud storage buckets

In addition to databases, you can also read original data and deliver synthetic data from and to cloud storage buckets (AWS S3, Azure blob storage, Google Cloud storage buckets).

Storage requirements

MOSTLY AI uses two types of storage.

Block Storage. Used by single pods, such as PostgreSQL. Typically, this is automatically provisioned by the Kubernetes cluster.
Shared Storage. Shared by various pods to store models, synthetic data, and others. Two options exist for using shared storage:
- MinIO. MOSTLY AI provides shared storage via MinIO. This uses the block storage provisioned by the Kubernetes cluster.
- External S3 storage. You can use an external S3 storage solution instead of MinIO.