A company plans to migrate a legacy on-premises application to AWS. The application is a Java web application that runs on Apache Tomcat with a PostgreSQL database.
The company does not have access to the source code but can deploy the application Java Archive (JAR) files. The application has increased traffic at the end of each month.
Which solution will meet these requirements with the LEAST operational overhead?
AWS Elastic Beanstalk provides a managed platform that automatically handles the deployment, capacity provisioning, load balancing, and auto-scaling for the Java web application. This significantly reduces operational overhead. Storing application data in Amazon RDS for PostgreSQL ensures managed database operations, including automated backups and scaling. Additionally, using Amazon CloudFront and an Application Load Balancer helps manage increased traffic and provides low latency. This solution meets the requirements with the least operational overhead given the company's constraints.
Upload the .jar straightforward to AWS Elastic Beanstalk. Answer D
Answer D Elastic Beanstalk: Provides an easy and managed way to deploy and scale web applications. It handles the deployment, capacity provisioning, load balancing, and auto-scaling automatically. Amazon RDS for PostgreSQL: Manages the database operations, providing automated backups, patching, and scaling, which reduces operational overhead. CloudFront and Application Load Balancer: Ensure that the application can handle increased traffic efficiently, distributing the load across multiple Availability Zones and providing low latency.
D The option with the least overhead is the use of AWS Elastic Beanstalk Tomcat.