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A company is running a large containerized workload in the AWS Cloud.

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A company is running a large containerized workload in the AWS Cloud. The workload consists of approximately 100 different services. The company uses Amazon ECS to orchestrate the workload.

Recently, the company’s development team started using AWS Fargate instead of Amazon EC2 instances in the ECS cluster. In the past, the workload has come close to running the maximum number of EC2 instances that are available in the account.

The company is worried that the workload could reach the maximum number of ECS tasks that are allowed. A solutions architect must implement a solution that will notify the development team when Fargate reaches 80% of the maximum number of tasks.

What should the solutions architect do to meet this requirement?

A.

Use Amazon CloudWatch to monitor the Sample Count statistic for each service in the ECS cluster. Set an alarm for when the math expression sample count/SERVICE_QUOTA service times 100 is greater than 80. Notify the development team by using Amazon SNS.

B.

Use Amazon CloudWatch to monitor service quotas that are published under the AWS/Usage metric namespace. Set an alarm for when the math expression metric/SERVICE_QUOTA metric times 100 is greater than 80. Notify the development team by using Amazon SNS.

C.

Create an AWS Lambda function to poll detailed metrics from the ECS cluster. When the number of running Fargate tasks is greater than 80, invoke Amazon SES to notify the development team.

D.

Create an AWS Config rule to evaluate whether the Fargate service quota is greater than 80. Use Amazon SES to notify the development team when the AWS Config rule is not compliant.

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