A large digital enterprise uses Amazon EFS for its storage application. EFS mount points are created in multiple AZ’s. QA team is interested in getting a dashboard for the total throughput of data being accessed from the EFS mount point across all AZ’s for quality assurance. Which of the following steps can be taken to get the total throughput of EFS in a scalable manner with the least effort?

Answer options:

A.Export Amazon CloudWatch log data for each EFS to Amazon S3 bucket for metric TotalIOBytes & calculate total throughput manually.
B.Export Amazon CloudWatch log data for each EFS to Amazon S3 bucket for metric TotalIOBytes & use Amazon Athena/ Amazon QuickSight to create a customized dashboard.
C.Create an Amazon CloudWatch graph with metric math expression to get total throughput for all EFS with metric as TotalIOBytes.
D.Create an Amazon CloudWatch graph for each EFS with metric as TotalIOBytes & manually calculate total throughput with the sum of TotalIOBytes over a required time period.

Correct Answer – C
With Metric Math, you can create Amazon CloudWatch graphs querying multiple metrics & display a new graph based upon the math expression you required. This helps the operational team to get a single graph for multiple metrics for AWS resources using math expressions.
Option A is incorrect as this is not a scalable solution for a large number of EFS data.
Option B is incorrect as this will be a complex solution to additionally configureAmazon Athena & Amazon QuickSight.
Option D is incorrect as this will require additional admin work.
For more information on using Amazon CloudWatch Metric Math, refer to the following URLs-
https://aws.amazon.com/blogs/mt/amazon-cloudwatch-metric-math-simplifies-near-real-time-monitoring-of-your-amazon-efs-file-systems-and-more/
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/using-metric-math.html