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AWS Serverless: How to Create and Use a Lambda Layer via the AWS SAM - Part 2
- AWS Serverless Lambda functions can be developed and deployed to AWS Cloud with ease using the Infrastructure as Code (IaC) framework AWS SAM (Serverless Application Model).
- Lambda Layer is a way of sharing reusable code and libraries among multiple Lambda functions. The layer makes the size of Lambda function deployment smaller and ensures consistency across functions.
- Lambda layers can be used in various scenarios such as shared libraries, custom functions, common configuration, and logging tools.
- When using Lambda layers, keep in mind certain constraints such as five layers limit and the maximum size limit of 50 MB compressed per layer.
- A Lambda function uses layers by importing modules and calling functions from those modules.
- The AWS SAM can facilitate the build, validation, and deployment of Lambda layers and functions to AWS Cloud.
- The entire process from creating a Lambda layer to referencing it in a Lambda function and then building and validating can be accomplished using AWS SAM.
- After validating the function locally, you can deploy it to the AWS Cloud using the sam deploy command.
- To avoid unnecessary resource usage, remember to delete the Lambda function and the Lambda layer.
- AWS SAM is an efficient way of testing and debugging Lambda functions before deploying them to the cloud.
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