Learn how to automate the build and deployment process for a legacy application with AWS CodeBuild and Amazon S3, reducing operational overhead and increasing efficiency.
Table of Contents
Question
A company has a legacy application. A DevOps engineer needs to automate the process of building the deployable artifact for the legacy application. The solution must store the deployable artifact in an existing Amazon S3 bucket for future deployments to reference.
Which solution will meet these requirements in the MOST operationally efficient way?
A. Create a custom Docker image that contains all the dependencies for the legacy application. Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository. Configure a new AWS CodeBuild project to use the custom Docker image to build the deployable artifact and to save the artifact to the S3 bucket.
B. Launch a new Amazon EC2 instance. Install all the dependencies for the legacy application on the EC2 instance. Use the EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
C. Create a custom EC2 Image Builder image. Install all the dependencies for the legacy application on the image. Launch a new Amazon EC2 instance from the image. Use the new EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
D. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with an AWS Fargate profile that runs in multiple Availability Zones. Create a custom Docker image that contains all the dependencies for the legacy application. Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository. Use the custom Docker image inside the EKS cluster to build the deployable artifact and to save the artifact to the S3 bucket.
Answer
A. Create a custom Docker image that contains all the dependencies for the legacy application. Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository. Configure a new AWS CodeBuild project to use the custom Docker image to build the deployable artifact and to save the artifact to the S3 bucket.
Explanation
Solution A is the most operationally efficient solution for the requirements. This solution uses AWS CodeBuild to automate the build process for the legacy application and store the deployable artifact in an S3 bucket. This solution does not require the management of EC2 instances or EKS clusters, reducing operational overhead. Additionally, using CodeBuild allows for easy integration with other AWS services, such as AWS CodePipeline for continuous delivery.
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