We integrate solutions based on customer requirements. Therefore, the primary use case is to understand the system's behavior after several rounds of developers going into the team and building the system. Also, the big picture is sometimes missing when the system goes up. So, the ServiceNet and the segmentation, ordering, and timeline views on the segments, especially on the link traces, help understand how the system and microservices are interconnected.

The second use case is to identify bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration. These are important aspects on our side.

It's basically like a cloud stack. 

You can trace your entire HTTP request. Once you have submitted any request, it will be addressed as a 500 Error or 401 Error, or if there is any exception happening when this request, and how much time will take. X-Ray can trace all the information about the request and response.

Wherever we require any API for any logging purpose, we use AWS X-Ray in our code.

It provides a telemetry solution, so we track activity within our applications in our implementation at Amazon.

The solution is used to trace dashboard databases and also as a new layer for Codesphere.

We use AWS X-Ray daily. We use it much for monitoring, but we use Amazon CloudWatch more for cloud groups.

In our company, we work with microservices. We use X-Ray to trace the flow of our endpoints and our requests. That's basically the only use case for us.