MoydusMoydus

GraphQL Development

Build flexible GraphQL APIs with queries, mutations, and subscriptions. Schema design, resolvers, and real-time data for modern applications.

GraphQL Development

Build flexible, efficient APIs with GraphQL for modern applications.

Why GraphQL?

  • Flexible Queries: Request exactly the data you need
  • Single Endpoint: One endpoint for all operations
  • Strong Typing: Schema-first development
  • Real-time: Built-in subscription support
  • Introspection: Self-documenting APIs

What We Build

  • Schema Design: Well-structured, maintainable schemas
  • Queries: Efficient data fetching
  • Mutations: Data modification operations
  • Subscriptions: Real-time updates
  • Federation: Distributed GraphQL services

GraphQL Features

Schema Design

type User {
  id: ID!
  name: String!
  email: String!
  posts: [Post!]!
}

type Post {
  id: ID!
  title: String!
  content: String!
  author: User!
}

type Query {
  user(id: ID!): User
  users: [User!]!
  posts: [Post!]!
}

type Mutation {
  createUser(input: CreateUserInput!): User!
  updateUser(id: ID!, input: UpdateUserInput!): User!
}

Resolvers

  • Efficient data loading
  • N+1 query prevention (DataLoader)
  • Error handling
  • Authorization logic

Subscriptions

  • WebSocket connections
  • Real-time updates
  • Pub/Sub patterns
  • Connection management

Performance Optimization

Query Complexity

  • Depth limiting
  • Complexity analysis
  • Query cost calculation
  • Rate limiting

Caching

  • Response caching
  • Dataloader for batching
  • Redis integration
  • CDN caching

Security

  • Authentication integration
  • Field-level authorization
  • Input validation
  • Query depth limits
  • Persisted queries

Tools & Technologies

  • Servers: Apollo Server, GraphQL Yoga, Mercurius
  • Clients: Apollo Client, urql, Relay
  • Schema: GraphQL Code Generator
  • Testing: Apollo Testing, GraphQL Playground
  • Federation: Apollo Federation, GraphQL Mesh

Use Cases

  • Mobile Apps: Efficient data fetching for limited bandwidth
  • Dashboards: Complex data requirements
  • E-commerce: Product catalogs with relationships
  • Social Platforms: User connections and feeds
  • Real-time Apps: Live updates and notifications

Integration with Existing APIs

  • REST to GraphQL wrappers
  • Database-backed schemas
  • Microservices federation
  • Legacy system integration

Development Process

  1. Schema Design: Define types and operations
  2. Resolver Implementation: Build data fetching logic
  3. Testing: Comprehensive query testing
  4. Documentation: Auto-generated docs
  5. Deployment: CI/CD and monitoring

Get Started

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