The article explores the implementation of a GraphQL server by adhering to Principled GraphQL's best practices, which emphasize the integrity of creating, managing, and exposing a unified data graph. It highlights the importance of having a single, federated graph that is collaboratively managed by various teams, ensuring that each team maintains the portion of the schema related to their data and services. The text delves into the challenges and trade-offs of different methods for schema updates, such as autonomous, delegation, and cross-boundary approaches, with a focus on maintaining a dynamic and DRY (Don't Repeat Yourself) schema. It further introduces architectural strategies for building a GraphQL server that allows decentralized schema creation, where teams have ownership over their schema parts, thus enabling rapid iteration and reduced bureaucratic barriers. By employing design patterns like publish-subscribe and chain-of-responsibility, the server architecture supports dynamic resolver functions that can adapt to varying contexts, allowing teams to quickly implement changes independently and efficiently.