What function do AWS Lambda Layers serve?

AWS Lambda Layers are designed to manage and share common dependencies across multiple Lambda functions efficiently. When you have several Lambda functions that utilize similar libraries or code, instead of packaging these dependencies with each function deployment, you can create a Lambda Layer that contains the common code. This approach not only reduces the size of the function package but also ensures that you can update the libraries without needing to redeploy each individual function.

By using Layers, you promote code reusability and streamline the process of maintaining dependencies. This is especially beneficial in environments where multiple functions require the same libraries or frameworks, as it simplifies updates and promotes consistency across functions. Each Lambda function can then reference the Layer, reducing redundant code and storage.

The other options do not accurately describe the purpose of Lambda Layers. Storing backups of Lambda functions focuses on version management rather than dependency management. Automating deployment processes typically involves other AWS services or tools such as AWS CloudFormation or AWS CodePipeline, rather than Layers. Increasing the performance of Lambda execution is influenced by factors such as the function's memory and timeout settings, but not specifically by the use of Layers.