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Answer: Publish custom metrics in Amazon CloudWatch for each message processed, then calculate throughput.
The correct answer is C. To accurately measure the throughput based on the number of messages processed by the Lambda function, custom metrics are required. This is because the built-in CloudWatch metrics like ConcurrentExecutions, Invocations, and Duration do not provide specific insights into the number of messages processed per unit time, excluding initialization and post-processing steps. By publishing custom Amazon CloudWatch metrics for each message processed by the Lambda function, the developer can precisely calculate the throughput based on the required parameters.
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A company requires real-time monitoring of an AWS Lambda function processing IoT device messages to ensure SLA compliance. The developer must implement a solution to measure the function's throughput, excluding initialization and post-processing times. What is the appropriate action?
A
Monitor throughput using Lambda's ConcurrentExecutions metric in Amazon CloudWatch.
B
Log throughput in Amazon CloudWatch Logs, processed by a separate Lambda function triggered by Amazon EventBridge.
C
Publish custom metrics in Amazon CloudWatch for each message processed, then calculate throughput.
D
Calculate throughput using Lambda's Invocations and Duration metrics in Amazon CloudWatch.
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