Learn how to use AWS X-Ray to trace and analyze the performance of your custom application running on on-premises Linux servers. Find out the easiest way to capture and relay the data to the X-Ray service using the X-Ray daemon.
Table of Contents
Question
A company is running a custom application on a set of on-premises Linux servers that are accessed using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API test stage.
How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of configuration?
A. Install and run the X-Ray SDK on the on-premises servers to capture and relay the data to the X-Ray service.
B. Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.
C. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTraceSegments API call.
D. Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTelemetryRecords API call.
Answer
B. Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.
Explanation
The answer to the question is B. Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.
To enable X-Ray tracing on the on-premises servers, the developer needs to install and run the X-Ray daemon on each server that runs the custom application. The X-Ray daemon is a software agent that listens for traffic on UDP port 2000, gathers raw segment data, and relays it to the X-Ray service. The developer also needs to instrument the application code with the X-Ray SDK to generate segments and subsegments that represent the work done by the application.
Option A is incorrect because installing and running the X-Ray SDK alone is not enough to enable X-Ray tracing on the on-premises servers. The X-Ray SDK requires the X-Ray daemon to be running on the same server to send the data to the X-Ray service.
Option C is incorrect because capturing incoming requests on-premises and configuring an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTraceSegments API call is not a feasible solution. The PutTraceSegments API call requires a valid trace ID and segment documents that conform to the X-Ray segment format. The developer would have to implement a custom logic to generate these parameters from the incoming requests, which would add complexity and overhead to the application.
Option D is incorrect because capturing incoming requests on-premises and configuring an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTelemetryRecords API call is not a valid solution. The PutTelemetryRecords API call is used by the X-Ray daemon to send telemetry data about segments received and uploaded. It does not send segment data itself, which is needed for tracing.
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