The adoption of GraphQL is increasing steadily, but teams often struggle with error handling that spans service boundaries and propagates from API endpoints to clients and consumers. To handle errors effectively, it's essential to distinguish between validation and execution errors, which have different implications for the client-side experience. GraphQL provides a strict API schema that can be leveraged to reconstruct failing cases relatively quickly, making it easier to report errors. A simple error handling implementation using Apollo Server and Sentry demonstrates how to hook into the request lifecycle, discard certain types of errors, and add scoped report details before sending them to Sentry. This setup allows for filtering based on operation kind, inspecting request details like query and variables, and attaching a unique transaction identifier to client requests to group events. By implementing error handling and reporting, teams can gain peace of mind knowing how to act on failures supplied with all the necessary details.