A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the Development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met:

• The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance.
• The application must be able to scale to meet an unpredictable number of concurrent users during the trial.

Which action will allow the team to quickly meet these objectives?

A. Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production. Build the Node.js application using existing processes and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type.
B. Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user-data scripts to install the application and the MySQL database on each EC2 instance. Update the stack to deploy new application versions.
C. Configure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is configured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk ‘swap cname’ to promote the test environment to production.
D. Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.