GraphQL, despite the name, isn't simply a query language. It's a comprehensive solution to the problem of connecting modern apps to services in the cloud. As such, it forms the basis for a new and important layer in the modern application development stack: the graph. This new layer brings all of a company's app data and services together in one place, with one consistent, secure, and easy-to-use interface, so that anyone can draw upon it with minimal friction.
At Apollo, we've been building industry leading graph technology since 2015, and we estimate our software is now used in over 90% of GraphQL implementations. Over the years, we've had thousands of conversations with developers implementing GraphQL at companies of all sizes. We want to share what we've learned, so we've distilled their experiences into a set of best practices for creating, maintaining, and operating a graph. We present them here as 10 GraphQL Principles, broken out into three categories, in a format inspired by the Twelve Factor App.
Integrity PrinciplesEnsuring that the graph is well-defined, stable, and consistent
1. One Graph
Your company should have one unified graph, instead of multiple graphs created by each team.
Agility PrinciplesRapidly rolling out the graph and continuously adapting it to changing needs
6. Iteratively Improve Performance
Performance management should be a continuous, data-driven process, adapting smoothly to changing query loads and service implementations.
Operations PrinciplesSecurely deploying the graph to production at scale
9. Structured Logging
Capture structured logs of all graph operations and leverage them as the primary tool for understanding graph usage.