GraphQL API Implementation. @graphql-api-build

The GraphQL API Implementation delivers a production GraphQL layer over your domain: a deliberately designed schema, resolvers that fetch efficiently, and the security and performance controls GraphQL needs to be safe in production. The finish state is a governed endpoint serving real client queries — typed, documented through the schema itself, and protected against expensive or malicious query shapes.

GraphQL's failure mode is well known: a schema that mirrors database tables, N+1 resolver storms, and an endpoint where any client can ask an unbounded question. The sprint designs the schema around client use cases, batches data access from the start, and puts depth, complexity, and rate limits in place before the first consumer ships.

Schema Design

A schema modeled on how clients consume the domain — types, connections, mutations, and error conventions — reviewed with the consuming teams before implementation.

Resolvers & Data Loading

Resolver implementation with batching and caching (DataLoader-pattern) against your databases and services, so nested queries stay efficient instead of exploding into N+1 access.

Security & Query Limits

Authentication and field-level authorization, query depth and complexity limits, persisted queries where appropriate, and introspection policy for production.

Client Integration & Tooling

Typed client codegen wired into the first consuming app, a schema registry or SDL workflow for change management, and observability on resolver latency and error rates.

1. Scope — Map client use cases, design the schema, and fix auth, limits, and the first consumer.
2. Build — Implement resolvers with efficient data loading, enforce limits, and integrate the first client end to end.
3. Handover — Production deployment, schema change-management workflow, and performance dashboards handed to your team.

The GraphQL API Implementation is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.

Can it sit over our existing REST services and databases?

Yes — that is the common case. The GraphQL layer composes existing services and data sources; nothing underneath has to change to get a unified graph on top.

How do you stop clients writing runaway queries?

Depth and complexity limits, timeouts, and rate limiting are part of the base build, not an afterthought. Persisted queries can lock production clients to approved shapes entirely.

What about federation across multiple teams?

The sprint delivers one graph for one domain, built so it can join a federated supergraph later. Full federation rollout across teams is scoped as its own item.