Log groups in CloudWatch Logs are used to organize log events based on a common identifier or category, aiding in efficient log management and analysis.

AWS X-Ray integrates seamlessly with AWS Lambda to provide detailed insights into service-to-service communication, allowing developers to trace requests as they pass between Lambda functions.

AWS X-Ray's tracing feature enables you to analyze and trace requests across distributed systems, providing insights into performance and dependencies.

By setting up log metric filters and alarms in CloudWatch Logs to extract specific patterns from log events related to performance degradation and alerting when these metrics exceed thresholds, you can identify and mitigate issues caused by excessive logging.

By creating retention policies in CloudWatch Logs, you can specify the retention period for log data, ensuring that it is retained for the required duration of seven years to comply with regulatory requirements.

AWS X-Ray provides insights into latency and errors by tracing requests and capturing data such as response times and error rates, helping you identify performance bottlenecks.

AWS X-Ray visualizes the flow of requests through distributed applications, showing how requests are processed and which components are involved, aiding in understanding application architecture and performance.

The primary components of AWS X-Ray include the Tracing SDK, which instruments your application, the X-Ray daemon, which collects and sends tracing data to X-Ray, and the X-Ray console, which provides a visual representation of your application's performance.

AWS X-Ray integrates with AWS Lambda functions through automatic instrumentation, capturing traces without requiring manual code changes.

AWS X-Ray provides benefits such as tracing requests through distributed systems, identifying performance bottlenecks, and offering insights into application performance, which are essential for debugging and performance optimization.