GraphQL vs REST
GraphQL offers a more efficient and flexible approach to API design compared to traditional REST APIs. It allows clients to request exactly the data they need, reducing over-fetching and under-fetching problems.
Schema Definition
Learn GraphQL schema language (SDL) for defining types, queries, mutations, and subscriptions. Understand how to design schemas that are intuitive and maintainable.
Resolver Implementation
Write resolvers that fetch data from various sources. Learn about resolver chains, data loaders for batching, and error handling in GraphQL resolvers.
Query Optimization
Implement query complexity limits, depth limits, and caching strategies. Use Apollo Server or similar frameworks for production-ready GraphQL servers.
Authentication and Authorization
Implement secure GraphQL APIs with proper authentication and field-level authorization. Learn about JWT tokens, OAuth, and protecting sensitive data.
Real-time with Subscriptions
Add real-time capabilities using GraphQL subscriptions. Implement WebSocket connections for live data updates and real-time user interactions.
Performance Best Practices
Optimize GraphQL APIs with query analysis, result caching, and database query optimization. Learn about the N+1 query problem and how to solve it.
Client-Side Integration
Use Apollo Client, Relay, or other GraphQL clients for efficient data fetching in web and mobile applications. Implement caching and state management.
Testing and Monitoring
Write comprehensive tests for GraphQL schemas and resolvers. Implement monitoring, logging, and performance tracking for production APIs.
