Metrics, Logging, and Tracing are some primary forms of monitoring we use in our services. In this post, I talk about how we can leverage the power of GraphQL to prevent sensitive information ending up in these monitoring tools.
In this post, I cover the topics — GraphQL persisted queries at Zalando and how we define and think about different levels of stability of our GraphQL schema.
GraphQL excels in modeling data requirements. Modeling errors as schema types in GraphQL is required for certain kinds of errors. In this post, let's analyze some cases where errors contain structured data apart from the message and the location information.