serverless-lambda-layer-packager
v1.1.0
Published
A Serverless plugin that allows you to maintain your normal project structure while developing Lambda Layers.
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Serverless Lambda Layer Packager
This Serverless plugin allows you to maintain your normal project structure when developing your Lambda Layer, and you do not have to think about it getting packaged in the correct folder.
Let's say you are making a Python Lambda function with a Python layer, that layer's code will have to be put inside a python/{packagename}
folder inside your layer's zip file. This python
folder clutters up your workspace and with this plugin, you do not have to think about it. It will put your code inside the correct folder when Serverless
packages your layer.
Documentation
Installation
First, add Serverless Lambda Layer Packager to your project:
npm install serverless-lambda-layer-packager
Then inside your project's serverless.yml
file add the following entry to the plugins section: serverless-lambda-layer-packager
. If there is no plugin section you will need to add it to the file.
It should look something like this:
plugins:
- serverless-lambda-layer-packager
You can check wether you have successfully installed the plugin by running the serverless command line:
serverless --help
The console should display ServerlessLambdaLayerPackager
as one of the plugins now available in your Serverless project.
Configuration
Inside your serverless.yml
file you can specify what folder the plugin has to use for your layer. You can also specify what runtime it has to use, to be able to get the correct files. You can find more about the folders in the AWS Layer configuration documentation
We currently support Python and Node.js runtimes and these are the folder examples:
Python: python/{packagename}
Node.js: nodejs/node_modules/{packagename}
To configure this in the serverless.yml
you can add it under custom
. For example:
custom:
serverless-lambda-layer-packager:
pathPrefix: python/my-layer
runtime: python3.7