Which solution will meet these requirements?
Create an Amazon S3 bucket. Enable static web hosting on the S3 bucket. Upload the static content to the S3 bucket. Use AWS Lambda to process all dynamic content.
Deploy the web application to an AWS Elastic Beanstalk environment. Use URL swapping to switch between multiple Elastic Beanstalk environments for feature testing.
Deploy the web application to Amazon EC2 instances that are configured with Java and PHP. Use Auto Scaling groups and an Application Load Balancer to manage the website’s availability.
Containerize the web application. Deploy the web application to Amazon EC2 instances. Use the AWS Load Balancer Controller to dynamically route traffic between containers that contain the new site features for testing.
Explanations:
Using Amazon S3 for static web hosting and AWS Lambda for dynamic content processing is suitable for static websites but does not support full Java and PHP applications efficiently. This solution would not meet the company’s requirement for a managed, highly available application with minimal operational overhead for a complex web application.
Deploying the web application to AWS Elastic Beanstalk allows for a managed solution that can automatically handle scaling, monitoring, and patching. URL swapping enables easy feature testing by switching between environments without downtime, making it ideal for frequent testing of new site features.
While deploying the application on Amazon EC2 instances provides flexibility, it involves significant operational overhead for configuration, scaling, and maintenance. Managing EC2 instances directly requires more effort compared to using a fully managed service like Elastic Beanstalk, making it less suitable for the company’s needs.
Containerizing the web application and deploying it on EC2 instances could facilitate some level of flexibility and scaling. However, this approach also entails a considerable amount of operational overhead for managing the containers, load balancing, and deployment processes, which does not align with the requirement for minimum operational overhead.