Scripts to compile Ghostscript (gs) for AWS Lambda instances powered by Amazon Linux 2.x, such as -

• nodejs18.x
• nodejs16.x
• nodejs14.x

Absolutely the easiest way of using this is to pull it directly from the AWS Serverless Application repository into a CloudFormation/SAM application, or deploy directly from the Serverless Application Repository into your account, and then link as a layer.

For more information, check out the ghostscript-lambda-layer application in the Serverless App Repository.

For manual deployments and custom builds, read below...

• Docker desktop
• Unix Make environment
• AWS command line utilities (just for deployment)

• start Docker services
• make all

There are two make scripts in this project.

• Makefile is intended to run on the build system, and just starts a Docker container matching the AWS Linux 2 environment for Lambda runtimes to compile Ghostscript using the second script.
• Makefile_gs is the script that will run inside the container, and actually compile binaries.

The output will be in the result dir.

By default, this compiles a version expecting to run as a Lambda layer from /opt. You can change the expected location by providing a TARGET variable when invoking make.

The default Docker image used is lambci/lambda-base-2:build. To use a different base, provide a DOCKER_IMAGE variable when invoking make.

Modify the versions of libraries or Ghostscript directly in Makefile_gs.

ghostscript version 9.27

Run the following command to deploy the compiled result as a layer in your AWS account.

make deploy DEPLOYMENT_BUCKET=<YOUR BUCKET NAME> [PROFILE="--profile <YOUR NAMED PROFILE FROM ~/.aws/credentials>"]

• Default DEPLOYMENT_BUCKET is sharpsell-ghostscript-layer
• Default PROFILE is --profile lambda-user

By default, this uses ghostscript-layer as the stack name. Provide a STACK_NAME (defaults to sharpsell-ghostscript-layer) variable when calling make deploy to use an alternative name.

For more information, check out:

• https://www.ghostscript.com/

Tomislav Capan

• These scripts: MIT
• Ghostscript: https://www.ghostscript.com/license.html
• Contained libraries all have separate licenses, check the respective web sites for more information