Debugging AppSync Performance with AWS X-Ray and Logging

When a GraphQL query or mutation runs slowly, identifying the exact bottleneck in a serverless architecture can feel like searching for a needle in a haystack. This text-based course provides a clear, step-by-step path to understanding how requests flow through your APIs and where latency occurs. You will learn how to instrument your architecture to gain complete visibility into every resolver and data source. By completing this course, you will transform your approach to troubleshooting from guesswork to precise, data-driven analysis. You will know how to configure monitoring tools, read complex trace maps, and isolate performance issues before they impact your users. What you'll learn: - Understand the core concepts of GraphQL request execution and latency in serverless environments - Configure structured AppSync logging to capture detailed execution details safely - Enable AWS X-Ray tracing to map request journeys across Lambda, DynamoDB, and other downstream services - Analyze distributed trace segments to pinpoint slow-running resolvers and database queries - Implement modern observability practices, including custom annotations and metadata for faster filtering - Apply best practices for log retention, filtering, and cost management in production environments The course begins with foundational concepts of API observability and structured logging, then guides you through configuring tracing tools, and concludes with real-world debugging scenarios. Designed specifically for developers and cloud enthusiasts new to serverless monitoring, this course requires no prior experience with distributed tracing. Start mastering modern cloud observability today.