Tag: GraphQL

1. Making GraphQL Errors Reproducible: Logging, Tracing, Correlation IDs

   Dec 28, 2025

   Intermittent GraphQL errors are hard to reproduce because context is missing. Structured logging, request tracing, and correlation IDs make every error traceable, even days after it occurred, even across multiple resolver chains.

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2. GraphQL Authentication: Tokens, Sessions and Field-Level Auth

   Dec 25, 2025

   Authentication in GraphQL is not a special case, it is part of every resolver that touches user-specific data. Anyone who fails to explicitly model token validation, session context and field-precise access control is building security gaps into the schema before the first query ever reaches production.

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3. Testing Magento GraphQL: PHPUnit, Integration Tests and Real Requests

   Dec 16, 2025

   Untested GraphQL resolvers are a ticking time bomb: schema changes silently break frontend contracts, and authentication bugs stay hidden until production. This article shows how to test Magento GraphQL on three levels, from unit tests for resolver logic to real HTTP requests against the endpoint.

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4. Resolver Architecture: Thin Resolvers Instead of Business Logic Monsters

   Dec 10, 2025

   A GraphQL resolver that combines database queries, validation, permission checks and transformation logic in a single class is no longer a resolver, it is an unbounded mini-service. This article shows how to keep resolvers thin, introduce clear layers, and move business logic to where it actually belongs.

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5. Query Complexity in GraphQL: Measuring and Limiting It in Practice

   Dec 1, 2025

   A GraphQL API without a complexity limit is an open door for overloading attacks. Depth limits, field-specific costs and complexity budgets are the three layers that stop a single query from occupying the server for seconds, or for minutes, if the schema has enough expensive fields.

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6. Documenting a GraphQL API Without Overwhelming Readers

   Dec 1, 2025

   Good GraphQL documentation is not a static file, it lives inside the schema itself, complemented by introspection tools, living example queries, deprecation strategies, and a schema registry workflow that makes changes communicable.

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7. 50 GraphQL Patterns for Real-World APIs

   Nov 24, 2025

   In production systems, GraphQL is not a query format, it is an architecture topic. Anyone who writes elegant queries but ignores resolver depth, N+1 problems, complexity limits and caching builds APIs that break under load. These 50 patterns show what actually works in real GraphQL projects.

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8. GraphQL Schema Reviews for Teams: What to Check Before the Merge

   Nov 19, 2025

   A GraphQL schema without a review process evolves in an uncontrolled way: breaking changes, inconsistent naming conventions, and missing documentation creep in. This article shows which points should be checked before every merge, manually and automatically with tooling.

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9. GraphQL in Symfony with API Platform: When It's Enough and When It Isn't

   Nov 10, 2025

   API Platform automatically generates GraphQL schemas from PHP entities, which sounds like the simplest possible solution. In practice, though, the limits show up quickly: complex mutations, domain-specific validation, N+1 performance problems, and a lack of control over the generated schema. This article shows when API Platform GraphQL is enough, and when it needs to be extended or replaced.

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10. GraphQL Tooling: GraphiQL, Apollo Studio, Hive, Inspector Compared

    Sep 16, 2025

    The right tool makes the difference between developing blind and maintaining an API in a structured way. GraphiQL, Apollo Studio, GraphQL Hive and Inspector cover different phases of the API lifecycle, from exploratory development to production schema management across a team.

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