The company’s goal is to modernize the application while minimizing operational overhead. The current architecture relies heavily on self-managed EC2 instances for web serving, APIs, search, and relational data storage. This increases operational burden related to patching, scaling, availability, and troubleshooting.
Option B replaces self-managed components with fully managed AWS services that are purpose-built for each workload type. Hosting the static web application on Amazon S3 with Amazon CloudFront removes the need to manage web servers such as NGINX and provides global content delivery with built-in scalability and high availability. Migrating the search data to Amazon OpenSearch Service eliminates the need to manage an EC2-based OpenSearch node, providing a managed search service with built-in scaling, patching, and monitoring. Migrating PostgreSQL to Amazon Aurora PostgreSQL removes the operational overhead of managing database instances on EC2 and provides managed backups, high availability, and performance optimizations. Running APIs on AWS App Runner further reduces operational effort by abstracting infrastructure management, scaling, and deployment, allowing the team to focus on application code.
Option A still requires running and operating containerized databases and search engines, which is not recommended and does not significantly reduce operational overhead compared to EC2-based deployments. Databases and OpenSearch are better consumed as managed services rather than as containers.
Option C introduces Amazon EKS, which adds significant operational complexity. Even with managed node groups, Kubernetes requires cluster management, networking configuration, upgrades, and ongoing operational expertise. This contradicts the requirement for the least operational overhead.
Option D attempts to run databases and OpenSearch on AWS App Runner. App Runner is designed for stateless web services and APIs, not for stateful services such as databases or search engines. This architecture is not aligned with AWS best practices and would introduce reliability and operational challenges.
Therefore, using managed services such as Amazon CloudFront, Amazon S3, Amazon OpenSearch Service, Amazon Aurora PostgreSQL, and AWS App Runner provides the most modern architecture with the least operational overhead.
[References:AWS documentation on application modernization best practices using managed services to reduce operational responsibility.AWS documentation on Amazon CloudFront and Amazon S3 for hosting static web applications.AWS documentation on Amazon OpenSearch Service as a managed search and analytics service.AWS documentation on Amazon Aurora PostgreSQL for managed relational databases.AWS documentation on AWS App Runner for running containerized APIs without infrastructure management., , , ]
