Customize builds with AWS SAM
You can customize your build to include specific Lambda functions or Lambda layers. A function is a resource that you can invoke to run your code in Lambda. A Lambda layer allows you to extract code from a Lambda function that can then be re-used across several Lambda functions. You may choose to customize your build with specific Lambda functions when you want to focus on developing and deploying individual serverless functions without the complexity of managing shared dependencies or resources. Additionally, you may choose to build a Lambda layer to help you reduce the size of your deployment packages, separate core function logic from dependencies, and allow you to share dependencies across multiple functions.
The topics in this section explore some of the different ways you can build Lambda functions with AWS SAM. This includes building Lambda functions with customer runtimes and building Lambda layers. Custom runtimes let you install and use a language not listed in Lambda runtimes in the AWS Lambda Developer Guide. This allows you to create a specialized execution environment for running serverless functions and applications. Building only Lambda layers (instead of building your entire application) can benefit you in a few ways. It can help you reduce the size of your deployment packages, separate core function logic from dependencies, and allow you to share dependencies across multiple functions.
For more information on functions, see Lambda concepts in the AWS Lambda Developer Guide.
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