Which solution will meet these requirements?

A company has a mission-critical application on AWS that uses automatic scaling.

The company wants the deployment lifecycle to meet the following parameters:

– The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic.

– The application is CPU intensive and must be closely monitored.

– The deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%.

Which solution will meet these requirements?
A . Use AWS CloudFormation to create an AWS Step Functions state machine and Auto Scaling lifecycle hooks to move to one instance at a time into a wait state. Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout.
B . Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault.OneAtAtime configuration as a deployment strategy. Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached.
C . Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling. Configure an alarm tied to the CPU utilization metric. Configure rolling deployments with a fixed batch size of one instance. Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.
D . Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Deploy updates one at a time. Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached.

View Answer

Answer: B

Explanation:

Reference: https://aws.amazon.com/about-aws/whats-new/2016/09/aws-codedeploy-introduces­deployment-monitoring-with-amazon-cloudwatch-alarms-and-automatic-deployment-rollback/