Master Serverless GraphQL Analytics on AWS
In the world of REST, analytics were deceptively simple: track HTTP endpoints, status codes, and path parameters. But as we shifted to the graph, the observability model shifted with it. The "single endpoint" nature of GraphQL ( /graphql ) turns traditional HTTP analytics into a black box. For Serverless GraphQL Analytics , simply logging hits to an API Gateway or Load Balancer is no longer sufficient. You need deep visibility into field usage, resolver latency, and specific query structures—all without introducing latency to the client. This guide assumes you are already running production workloads on AWS AppSync or Apollo Server Lambda. We will bypass the basics and architect a high-throughput, asynchronous analytics pipeline using Amazon Kinesis, Athena, and OpenSearch, focusing on data granularity and cost optimization. The "Black Box" Problem in GraphQL Analytics The primary challenge with GraphQL is the disco...