How can the team resolve the error in the MOST efficient manner to ensure that all resources are deleted without errors?
Add a DelelionPolicy attribute to the S3 bucket resource, with the value Delete forcing the bucket to be removed when the stack is deleted.
Add a custom resource with an AWS Lambda function with the DependsOn attribute specifying the S3 bucket, and an IAM role. Write the Lambda function to delete all objects from the bucket when RequestType is Delete.
Identify the resource that was not deleted. Manually empty the S3 bucket and then delete it.
Replace the EC2 and S3 bucket resources with a single AWS OpsWorks Stacks resource. Define a custom recipe for the stack to create and delete the EC2 instance and the S3 bucket.
Explanations:
Adding a DeletionPolicy attribute to the S3 bucket would not resolve the deletion error since the policy should be defined in the CloudFormation template, but it may not be the most efficient solution as it does not address the underlying issue of objects remaining in the bucket preventing deletion.
This option uses a Lambda function to ensure that all objects in the S3 bucket are deleted before the bucket itself is deleted. By using the DependsOn attribute, the function ensures that the S3 bucket is emptied before CloudFormation attempts to delete it, resolving the deletion issue effectively.
While manually emptying the S3 bucket and deleting it would work, it is not an efficient or automated solution. This approach contradicts the goal of having a reliable and automatic resource management through CloudFormation, making it less ideal.
Replacing the resources with an AWS OpsWorks Stacks resource complicates the deployment without addressing the immediate issue of S3 bucket deletion. It introduces unnecessary complexity and does not ensure proper resource deletion management in CloudFormation.