Learn the different types of microservice coupling and how GraphQL Federation's @requires directive makes cross-service dependencies explicit, visible, and validated at build time.

Wundergraph is a blog or publication focused on GraphQL, a query language and runtime for APIs. Through tutorials, guides, and case studies, Wundergraph explores various aspects of GraphQL development, including schema design, query optimization, and integration with frontend frameworks. Developers can learn how to leverage GraphQL to build efficient and flexible APIs that meet the needs of modern web and mobile applications.

WunderGraph

Most microservice failures stem from invisible dependencies rather than architectural flaws. A taxonomy of seven coupling types is presented (domain, data, temporal, pass-through, common, contract, organizational), and GraphQL Federation's @requires directive is shown as a mechanism to make all of them explicit. With @requires, cross-service data dependencies move from hidden HTTP calls in application code into the schema itself, where they are validated at composition time, visible in query plans, and enforced at build time rather than discovered during production incidents. The post also covers @provides as a companion directive, warns against overusing it, and argues that correct service boundary design (one team, one service) is a prerequisite before any tooling can help.

Microservice Dependencies: How @requires Makes Them Explicit

The Taxonomy of Microservice Dependencies

How @requires Makes Dependencies Explicit

The Power of Explicit: What You Can See, You Can Manage

Field-Level Precision: Not Endpoints, Fields

Service Boundaries: The Root Cause Most Teams Miss