Developing a Dynamic Lambda Function for Multiple Environments

Answer - B.

This is mentioned in the AWS Documentation.

Environment variables for Lambda functions enable you to dynamically pass settings to your function code and libraries without making changes to your code.

Environment variables are key-value pairs that you create and modify as part of your function configuration, using either the AWS Lambda Console, the AWS Lambda CLI or the AWS Lambda SDK.

AWS Lambda then makes these key-value pairs available to your Lambda function code using standard APIs supported by the language, like process.env for Node.js functions.

Option A is incorrect because there is no need to create a Lambda function for each environment and the question needs a common Lambda function to interact with different environments.

Option C is incorrect because different versions of Lambda function are not required.

Option D is incorrect because ALIAS is not the correct method to dynamically pass settings to a Lambda function.

For more information on Lambda environment variables, please refer to the below URL-

https://docs.aws.amazon.com/lambda/latest/dg/env_variables.html

When developing a common Lambda function that needs to interact with multiple development environments, it is important to consider how to dynamically pass settings to it. Each development environment might have different configuration settings such as API keys, database endpoints, and credentials.

Option A suggests creating a Lambda function for each environment, which can quickly become difficult to manage as the number of environments increases. In addition, it would require duplicating code across each function and maintaining each one separately.

Option B is a better approach as it allows for a single Lambda function to be used across multiple environments. Environment variables can be set for each environment, and the Lambda function can read those variables at runtime to determine the correct configuration settings to use. This approach allows for better code management and reduces the likelihood of errors due to inconsistent configurations across environments.

Option C suggests creating several versions of the Lambda function for each environment. While this approach could work, it has some drawbacks. First, it would require creating and maintaining multiple versions of the same code, which could lead to duplication and confusion. Second, versioning is intended to support backward compatibility, and it does not address the need for different configuration settings for each environment.

Option D is the recommended approach for managing Lambda functions across multiple environments. Creating several aliases for each environment allows the same Lambda function code to be used across multiple environments with different configurations. Aliases allow you to publish multiple versions of the same code and assign a different configuration to each alias. This approach ensures that the same code is used across all environments, while allowing for different configurations to be applied as needed.

In summary, the best approach for developing a common Lambda function that interacts with multiple development environments is to create one Lambda function and use environment variables or aliases for each environment to dynamically pass configuration settings. Option B and D are valid approaches, but option D using aliases provides better flexibility and management of Lambda functions across multiple environments.