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.

AWS X-Ray implements distributed tracing to track and analyze requests as they travel through various services in a microservices architecture, providing insights into request flow and performance.

Examples of custom metrics that can be collected in AWS include application latency, API response time, and custom error rates, allowing you to monitor and optimize various aspects of your applications or services.

AWS X-Ray provides insights for analyzing performance trends and identifying anomalies in application behavior, allowing developers to optimize performance and troubleshoot issues.

Amazon CloudWatch is a key AWS service that integrates with AWS X-Ray to provide comprehensive monitoring and analysis capabilities, allowing you to monitor metrics, collect log files, and set alarms.

AWS X-Ray enables developers to understand and optimize performance across microservices architectures by providing insights into request flows, latency, and dependencies.