Learn how to use AWS Lambda function aliases to deploy different versions of your code and switch between them easily. Find out how to reduce the operational overhead and improve the reliability of your deployments.
Table of Contents
Question
A developer is deploying an AWS Lambda function. The developer wants the ability to return to older versions of the function quickly and seamlessly.
How can the developer achieve this goal with the LEAST operational overhead?
A. Use AWS OpsWorks to perform blue/green deployments.
B. Use a function alias with different versions.
C. Maintain deployment packages for older versions in Amazon S3.
D. Use AWS CodePipeline for deployments and rollbacks.
Answer
B. Use a function alias with different versions.
Explanation
The correct answer is B. Use a function alias with different versions.
This answer is based on the documentation of AWS Lambda, which states that a function alias is a pointer to a specific function version. Each alias has a unique Amazon Resource Name (ARN) and can be updated to point to a different version. By using a function alias, the developer can easily switch between different versions of the Lambda function without changing the way the function is invoked.
The other options are not as suitable because:
- Option A: Using AWS OpsWorks to perform blue/green deployments is not the best solution for deploying Lambda functions, as OpsWorks is designed for managing applications on Amazon EC2 instances or on-premises servers. OpsWorks uses Chef or Puppet configuration management tools to automate how servers are configured, deployed, and managed. Lambda functions do not require servers or configuration management tools, and can be deployed using AWS CodeDeploy, which supports blue/green deployments for Lambda functions.
- Option C: Maintaining deployment packages for older versions in Amazon S3 is not the best solution for deploying Lambda functions, as it requires manual steps to upload, download, and deploy the packages. Deployment packages are ZIP or container image files that contain the function code and dependencies. The developer would have to store the packages in an S3 bucket, download them when needed, and use the AWS CLI or SDK to update the function code with the package. This would introduce more operational overhead than using a function alias.
- Option D: Using AWS CodePipeline for deployments and rollbacks is not the best solution for deploying Lambda functions, as it requires setting up a continuous delivery pipeline that integrates with other AWS services. AWS CodePipeline is a service that automates the stages of software delivery, such as source code, build, test, and deploy. The developer would have to create a pipeline that uses AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and other services to deploy and rollback Lambda functions. This would introduce more complexity and cost than using a function alias.
Therefore, option B is the best answer for this question.
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