Looking for the right tech stack for a GraphQL application
summary
GraphQL is presented as a way to speed frontend delivery by making the schema the single source of truth generated from code (using reflection and TypeGraphQL). Practical stack components shown include Insomnia, Prisma and DataLoader, and techniques to handle bottlenecks such as materialized views, precomputed indices or Elastic/Mongo plus testing with GraphQL Doctor; an example: restructuring a user→company relationship takes a week on the backend but only a day to adapt the frontend using GraphQL queries.
AI-written summary · about
chapters (6)
- 0:00GraphQL matters
- 5:43Client dev speed
- 12:58Schema duplication
- 17:22Performance fixes
- 24:48Query cache optimization
- 30:15GraphQL best practices
related talks
32mFrom learning to thinking in GraphQL
41mGraphQL: The Good Parts
38mWeb Applications of the Future With TypeScript and GraphQL
35mGraphQL in real life
23mGraphQL in real life
18mWelcome to GraphQL
19mGraphQL: Accelerating Digital Transformation Through Modern APIs.
23mHow GraphQL Helped Create Scalability and Stability in the Retirement Space.