At FAIR Wizard, we believe that robust infrastructure is the foundation of reliable services. Our platform is more than just a set of applications – it is a carefully orchestrated ecosystem that ensures performance, scalability, and security at every layer. In this post, we’ll give you a behind-the-scenes look at how our cloud is built on Amazon Web Services (AWS) and which components make it all work together.
The FAIR Wizard platform is built around the following interconnected components:
Data Management Planner is the heart of the system. It is built on the foundations of the Data Stewardship Wizard and provides the essential planning environment. It brings together a server and client application, supported by dedicated background workers that handle document generation and email communication.
Admin Center acts as the control tower of the platform. Here, administrators manage instances, users, and groups. It combines a server and client interface with supporting workers that take care of tasks like sending emails and seeding initial data.
Integration Hub is designed for interoperability. With its own server and client, it enables FAIR Wizard to connect with external systems and services, making sure that data can flow smoothly across institutional or project boundaries.
Analytics component turns data into insights. It blends a server and client application with a set of ETL pipelines that transform raw records from operational databases into a dedicated reporting database. This makes it possible to monitor usage patterns, assess impact, and provide decision-makers with valuable feedback.
AI Assistant brings intelligent support directly into the workflow. It provides contextual guidance and suggestions that help users navigate complex tasks and make better decisions.
Together with underlying databases and storage in S3, these components form a tightly integrated ecosystem that ensures the platform remains reliable, scalable, and ready to support the evolving needs of research and data stewardship.
We chose AWS because of its global footprint, scalability, and reliability. With availability across many regions worldwide, we can ensure FAIR Wizard runs smoothly for users no matter where they are located.
Here’s a closer look at the AWS services we rely on:
Keeping such a platform running requires deep observability. We achieve this through:
This monitoring setup ensures that our engineering team always has a clear view of what’s happening—whether it’s application performance, unusual traffic spikes, or early warning signals of potential issues.
FAIR Wizard is more than just an app. It’s an ecosystem built on AWS to provide researchers and institutions with a powerful, scalable, and secure platform for data management. By combining containerized applications, automated scaling, strong security measures, and comprehensive monitoring, we ensure that every component of FAIR Wizard runs smoothly, no matter the workload.