A development team manages website deployments using AWS CodeDeploy blue/green deployments. The application is running on Amazon EC2 instances behind an Application Load Balancer in an Auto Scaling group.
When deploying a new revision, the team notices the deployment eventually fails, but it takes a long time to fail. After further inspection, the team discovers the AllowTrafflc lifecycle event ran for an hour and eventually failed without providing any other information. The team wants to ensure failure notices are delivered more quickly while maintaining application availability even upon failure.
Which combination of actions should be taken to meet these requirements? (Select TWO.)
A company is beginning to move to the AWS Cloud. Internal customers are classified into two groups according to their AWS skills: beginners and experts.
The DevOps Engineer needs to build a solution to allow beginners to deploy a restricted set of AWS architecture blueprints expresses as AWS CloudFormation templates. Deployment should only be possible on predetermined Virtual Private Clouds (VPCs). However, expert users should be able to deploy blueprints without constraints. Experts should also be able to access other AWS services, as needed.
How can the Engineer implement a solution to meet these requirements with the LEAST amount of overhead?
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 ho 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 company is using an AWS CloudFormation template to deploy web applications. The template requires that manual changes be made for each of the three major environments: production, staging, and development. The current sprint includes the new implementation and configuration of AWS CodePipeline for automated deployments.
What changes should the DevOps Engineer make to ensure that the CloudFormation template is reusable across multiple pipelines?