G2

Atharva P.

Cloud BI Engineer

Enterprise (> 1000 emp.)

7/27/2026

"AWS X-Ray Makes Distributed Tracing Clear with an End-to-End Service Map"

4/5

What do you like best about AWS X-Ray?

What I like most about AWS X-Ray is how clearly it visualizes the path a request takes through a distributed application. Rather than troubleshooting each service in isolation, X-Ray gives an end-to-end service map that highlights latency, dependencies, and failures across APIs, Lambda functions, containers, databases, and other AWS services.

This makes it much easier to pinpoint performance bottlenecks in microservice architectures and understand where slowdowns or errors are occurring. Review collected by and hosted on G2.com.

What do you dislike about AWS X-Ray?

Applications must be instrumented to generate traces, which requires additional development effort. For very large workloads, trace sampling strategies also need to be configured carefully to strike the right balance between observability and cost. Review collected by and hosted on G2.com.

What problems is AWS X-Ray solving and how is that benefiting you?

AWS X-Ray helps diagnose performance issues that can be hard to pinpoint using logs and metrics alone.

For example, in a serverless application, API Gateway invoked Lambda functions that interacted with DynamoDB and S3. During performance testing, response times started increasing unexpectedly. Using AWS X-Ray, the service map made it clear that most of the latency was coming from one specific Lambda function, which was spending time waiting on external database operations. After optimizing that function, overall API response times improved and the user experience was better.

Overall, this reduced troubleshooting time and made it much easier to isolate performance bottlenecks than relying only on application logs. Review collected by and hosted on G2.com.