The DevOps team at an e-commerce company is trying to debug performance issues for its serverless application built using a microservices architecture. As a Cloud Practitioner, which AWS service would you recommend addressing this use-case?

As a Cloud Practitioner, I would recommend using AWS X-Ray for this use-case. AWS X-Ray provides insights into the behavior of your applications, helping you understand how they are performing and where bottlenecks are occurring.

Here are the steps to use AWS X-Ray:

1. Enable X-Ray: You can enable X-Ray for your application in the AWS Management Console, AWS CLI, or AWS SDKs. If you're using Elastic Beanstalk, you can enable X-Ray through the Elastic Beanstalk console.

2. Instrument Your Application: After enabling X-Ray, you need to modify your application to use the X-Ray SDK. The SDK provides an API for sending data to X-Ray, and includes a library for instrumenting your code to record information about requests, responses, and operations.

3. View Data: Once your application is instrumented, you can view the data in the X-Ray console. The console provides a service map that shows an overview of your application and its components, and a trace view that shows detailed information about individual requests.

4. Analyze Performance: You can use the X-Ray console to analyze the performance of your application. You can see where bottlenecks are occurring, how long requests are taking, and where errors are happening.

5. Debug Issues: If you identify any performance issues, you can use the detailed information provided by X-Ray to debug and fix these issues. You can see the exact path that requests take through your application, and see detailed information about any errors or exceptions that occur.

By using AWS X-Ray, the DevOps team at the e-commerce company can gain a deep understanding of their serverless application, identify any performance issues, and debug these issues effectively.