Monitoring and Troubleshooting Java Applications on AWS | ServiceLens vs. X-Ray

Deploying ServiceLens and Configuring AWS X-Ray for End-to-End Application Visibility

Question

An IT firm has deployed a new Java-based application on the Amazon EC2 instance.

The Operations Team is looking for an end-to-end application view that can help to identify latency and errors while accessing this application.

AWS Consultant has suggested deploying ServiceLens for this purpose.

Sysops team has already deployed AWS X-Ray for this requirement. What additional configuration needs to be done to complete this deployment? (Select TWO)

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D. E.

Correct Answers: B and E.

ServiceLens can be used to enhance application health monitoring by integrating traces, metrics, logs, alarms, and other resource health information into one place.

ServiceLens integrates with X-Ray to provide an end-to-end view of the application.

ServiceLens can be deployed with the following 2 steps,

Deploy X-Ray.

Deploy the CloudWatch agent and the X-Ray daemon.

Option A is incorrect as enabling custom metrics is not required for deploying ServiceLens.

Option C is incorrect as enabling metric streams is not required for deploying ServiceLens.

Option D is incorrect as ServiceLens can integrate with Amazon CloudWatch Synthetics, but creating a Canary is not required for deploying ServiceLens.

For more information on deploying ServiceLens, refer to the following URL,

https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/deploy_servicelens.html

Both ServiceLens and AWS X-Ray are AWS services used for application monitoring and tracing, but they have different purposes and functionalities. ServiceLens provides an end-to-end view of the application's performance, whereas AWS X-Ray helps to identify the root cause of performance issues and errors in distributed applications.

In this scenario, the SysOps team has already deployed AWS X-Ray for tracing and identifying issues with the Java-based application. However, the Operations Team requires an end-to-end view of the application's performance, which can be achieved by deploying ServiceLens. Therefore, the additional configuration required to complete this deployment are as follows:

  1. Deploy ServiceLens: The first step is to deploy ServiceLens on the AWS account. ServiceLens can be enabled on an AWS account by navigating to the AWS Management Console, selecting the ServiceLens option, and following the steps to enable it.

  2. Enable Metric Streams: Once ServiceLens is deployed, the next step is to enable metric streams. Metric streams allow ServiceLens to collect and analyze performance data from multiple AWS resources, including EC2 instances, Lambda functions, and other AWS services. Metric streams can be enabled by navigating to the AWS Management Console, selecting the ServiceLens option, and following the steps to enable it.

In contrast, the other options in the answer choices are not required to complete the deployment of ServiceLens:

A. Enable Custom Metric: Custom metrics are used to monitor application-specific metrics that are not available in AWS services by default. This is not required to complete the deployment of ServiceLens.

B. Deploy CloudWatch Agent: CloudWatch agent is used to collect system-level metrics and logs from EC2 instances and on-premises servers. This is not required to complete the deployment of ServiceLens.

D. Create a Canary: A canary is a way to monitor the availability and performance of an application by periodically sending requests to the application and checking the responses. This is not required to complete the deployment of ServiceLens.

E. Deploy X-Ray Daemon: The X-Ray daemon is used to collect trace data from EC2 instances and other AWS resources. Since X-Ray is already deployed by the SysOps team, there is no need to deploy the X-Ray daemon again to complete the deployment of ServiceLens.