A company is using Docker containers for an application deployment and wants to move its application to AWS. The company currently manages its own clusters on premises to manage the deployment of these containers. It wants to deploy its application to a managed service in AWS and wants the entire flow of the deployment process to be automated. In addition, the company has the following requirements:

• Focus first on the development workload.
• The environment must be easy to manage.
• Deployment should be repeatable and reusable for new environments.
• Store the code in a GitHub repository.

Which solution will meet these requirements?

A. Set up an Amazon ECS environment. Use AWS CodePipeline to create a pipeline that is triggered on a commit to the GitHub repository. Use AWS CodeBuild to create the container images and AWS CodeDeploy to publish the container image to the ECS environment.
B. Use AWS CodePipeline that triggers on a commit from the GitHub repository, build the container images with AWS CodeBuild, and publish the container images to Amazon ECR. In the final stage, use AWS CloudFormation to create an Amazon ECS environment that gets the container images from the ECR repository.
C. Create a Kubernetes Cluster on Amazon EC2. Use AWS CodePipeline to create a pipeline that is triggered when the code is committed to the repository. Create the container images with a Jenkins server on EC2 and store them in the Docker Hub. Use AWS Lambda from the pipeline to trigger the deployment to the Kubernetes Cluster.
D. Set up an Amazon ECS environment. Use AWS CodePipeline to create a pipeline that is triggered on a commit to the GitHub repository. Use AWS CodeBuild to create the container and store it in the Docker Hub. Use an AWS Lambda function to trigger a deployment and pull the new container image from the Docker Hub.