Which process will meet this requirement?
Create a Docker image that runs the AWS X-Ray daemon. Run the image alongside the microservices in Amazon ECS. Use the X-Ray console to view requests to the microservices.
Perform distributed tracing based on the ALB’s built-in traffic request metrics.
Use Amazon CloudWatch to collect metrics and logs from Amazon ECS. Perform distributed tracing based on the ECS metrics and logs.
Create an Amazon EventBridge (Amazon CloudWatch Events) rule to capture the ECS metrics and logs. Use the EventBridge console to view the requests to the microservices.
Explanations:
AWS X-Ray provides distributed tracing, allowing deeper insights into the performance of microservices. By running the AWS X-Ray daemon in a Docker image alongside the microservices in ECS, you can track the specific requests and their behavior, including performance degradation. The X-Ray console allows detailed analysis of traces.
While ALB provides basic traffic metrics, it does not offer full distributed tracing. Distributed tracing requires more detailed tracking of requests across multiple services, which is beyond the ALB’s built-in metrics capabilities.
Amazon CloudWatch metrics and logs do not provide full distributed tracing capabilities. While they can provide valuable insights into the performance of ECS tasks, they do not give detailed trace-level data of requests through microservices.
EventBridge (CloudWatch Events) is used for event-driven architecture and monitoring. While it can capture ECS metrics and logs, it does not provide the ability to perform distributed tracing or gain deeper insights into request-level behavior for performance degradation.
I evaluate that the answer is:
Create a Docker image that runs the AWS X-Ray daemon. Run the image alongside the microservices in Amazon ECS. Use the X-Ray console to view requests to the microservices.