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.

Custom metrics in AWS are typically created using the CloudWatch API, allowing developers to programmatically send data to CloudWatch for monitoring.

The primary benefit of using custom metrics in AWS monitoring is the ability to monitor application-specific performance metrics that are crucial for your business or application.

Amazon CloudWatch provides a feature to collect custom metrics, allowing you to monitor specific aspects of your applications or services beyond the standard metrics provided by AWS services.

Amazon CloudWatch is commonly used for storing and analyzing custom metrics in AWS, providing dashboards, alarms, and insights into system performance and behavior.