As organizations scale, their data often becomes trapped in fragmented microservices and siloed APIs. This slows down feature delivery, frustrates frontend teams, and makes integrating modern AI tools incredibly difficult due to a lack of unified context. The solution? Distributed GraphQL.

In this live coding session, we will build a distributed architecture from the ground up using Apollo Federation. We will start by creating multiple independent backend subgraphs representing different domains, and then seamlessly compose them into a single, unified Apollo Supergraph ready for enterprise consumption.

But we won't stop at the implementation. We will explore how this unified data graph provides the perfect semantic context layer, allowing AI tooling and agents to easily discover, understand, and query your organizational data. To tie it all together, I will share how we have leveraged this exact architecture at Source Allies to drive real-world success, reducing data redundancy, boosting team autonomy, and unlocking powerful capabilities for both AI-driven and traditional engineering efforts.

- While this is a live coding session aimed at developers and technologists, there are components that are easily digestible and applicable for more business focused attendees.
- This session usually runs 60 minutes, but can be turned into a multi-hour interactive workshop if desired. Please reach out to figure out details prior if this is desired.