Building modern applications with GraphQL 2023 and beyond in ASP.NET Core 7 - Michael Staib

Discover how to build modern applications with GraphQL in ASP.NET Core 7, including best practices for schema design, data caching, and scalability.

Key takeaways
  • GraphQL is a query language for APIs: It provides a more flexible and efficient way to fetch data from a server.
  • Hot Chocolate is a.NET GraphQL library: It provides a set of features and tools for building GraphQL servers in.NET.
  • Data Loaders improve performance: By caching and reusing data, Data Loaders reduce the number of requests made to the server.
  • Field middleware is useful for filtering and sorting data: It allows developers to add custom logic to the data fetching process.
  • GraphQL schema is important for ensuring data consistency: It provides a clear definition of the data structure and relationships.
  • Client-side data fetching improves user experience: By fetching data on the client-side, users can get faster responses and more interactive experiences.
  • REST and GraphQL have different strengths: REST is better suited for simple CRUD operations, while GraphQL is better suited for complex queries with multiple data sources.
  • Using GraphQL with Azure functions improves scalability: By using a cloud-based serverless architecture, developers can scale their GraphQL server to handle high traffic.
  • Separating concerns with GraphQL improves maintainability: By separating concerns, developers can focus on specific parts of the system and make changes without affecting other areas.
  • Using projections in GraphQL improves performance: By selecting only the necessary data, projections reduce the amount of data that needs to be fetched and processed.
  • Understanding nullability and non-nullability is important in GraphQL: It ensures that developers can properly define the data structure and relationships in their schema.
  • Using GitHub for GraphQL server state management: It provides a decentralized way to manage state and dependencies across multiple servers.
  • Using GraphQL IDE tools improves development efficiency: It provides a centralized platform for designing, testing, and debugging GraphQL schemas.