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Behind the Scenes of FAIR Wizard Cloud: Scalable Data Management Planning on AWS

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.

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Core Components of FAIR Wizard

The FAIR Wizard platform is built around the following interconnected components:

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.

Why AWS?

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:

Compute and Containers

Networking and Delivery

Storage and Databases

Security

Monitoring, Logging, and Reliability

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.

Wrapping Up

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.