How can this be accomplished?
Create and deploy nested AWS CloudFormation stacks with the parent stack consisting of the AWS CloudFront distribution and API Gateway, and the child stack containing the Lambda function. For changes to Lambda, create an AWS CloudFormation change set and deploy; if errors are triggered, revert the AWS CloudFormation change set to the previous version.
Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.
Refactor the AWS CLI scripts into a single script that deploys the new Lambda version. When deployment is completed, the script tests execute. If errors are detected, revert to the previous Lambda version.
Create and deploy an AWS CloudFormation stack that consists of a new API Gateway endpoint that references the new Lambda version. Change the CloudFront origin to the new API Gateway endpoint, monitor errors and if detected, change the AWS CloudFront origin to the previous API Gateway endpoint.
Explanations:
While using AWS CloudFormation for deployment is a good practice, it may not reduce deployment time effectively as it involves creating and managing stacks, which can be more complex and slower than other methods.
AWS SAM and CodeDeploy allow for a gradual deployment strategy with traffic shifting, which helps in quickly detecting issues and rolling back as needed, thus optimizing deployment time and error detection.
Refactoring scripts into a single deployment script does not inherently improve deployment speed or error detection; it may complicate the process without addressing the core issues of rollback and testing.
Creating a new API Gateway endpoint and changing CloudFront origins can be cumbersome and may not provide immediate rollback capabilities or efficient error detection compared to using traffic shifting and automated rollback mechanisms.