How should the developer identify and troubleshoot the root cause of the performance issues in production?
Add logging statements to the Lambda functions, then use Amazon CloudWatch to view the logs.
Use AWS CloudTrail and then examine the logs.
Use AWS X-Ray, then examine the segments and errors.
Run Amazon Inspector agents and then analyze performance.
Explanations:
While adding logging statements to the Lambda functions and viewing the logs in Amazon CloudWatch can provide some insights, it lacks the capability to trace requests across services and analyze performance issues in a distributed system effectively. CloudWatch logs are more suited for general logging and troubleshooting but may not provide the depth of analysis needed for root cause identification in performance issues.
AWS CloudTrail logs API calls and provides visibility into account activity, but it does not offer insights into application performance or the execution of Lambda functions. It is useful for auditing and security analysis, but it does not focus on performance metrics or tracing issues within applications.
AWS X-Ray is specifically designed for analyzing and debugging distributed applications. It provides capabilities to trace requests through the various components of the application, showing latency, errors, and other performance-related metrics. This enables developers to pinpoint performance bottlenecks and understand the interactions between services, making it the most suitable option for identifying and troubleshooting performance issues in production Lambda functions.
Amazon Inspector is primarily a security assessment service used to identify vulnerabilities in applications. It is not designed for performance analysis or troubleshooting issues related to Lambda functions or distributed applications. Therefore, running Amazon Inspector agents would not address the performance concerns effectively.
I appraise that the answer is:
Use AWS X-Ray, then examine the segments and errors.