Architecture

The Aindo Synthetic Data platform is powered by Docker containers running in a Kubernetes cluster, ensuring scalability and reliability across a variety of use cases.

The platform’s architecture can be represented schematically as follows:

As illustrated in the schema, the platform is composed of multiple services that work together to achieve modularity, flexibility, and reliability. The core components are the following:

#	Name	Description
1	API	Component which handles API requests coming from users’ browser or API clients
2	Frontend	Component which serves frontend assets
3	Workers	Pool of workers which handles light to medium tasks
4	AI Workers	Pool of workers which handles AI tasks
5	Redis	Platform caching and message broker
6	S3	Platform storage
7	PostgreSQL	Platform database

The application is designed to be horizontally and vertically scalable depending on the needs. Here are some examples of how this scalability can be leveraged:

• [Horizontal scaling] to increase the number of concurrent synthesis jobs (such as training and synthetic dataset generation), you may increase the number of replicas of component #4;
• [Horizontal scaling] to support a higher number of concurrent users on the platform, you may increase the replicas of component #1 and #3;
• [Vertical scaling] to synthesize larger datasets, you may enhance the computational power of the nodes hosting component #4.