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About

AWS provided base images for Lambda contain all the required components to run your functions packaged as container images on AWS Lambda. These base images contain the Amazon Linux Base operating system, the runtime for a given language, dependencies and the Lambda Runtime Interface Client (RIC), which implements the Lambda Runtime API. The Lambda Runtime Interface Client allows your runtime to receive requests from and send requests to the Lambda service.

To learn more about the composition of the base images you can visit https://github.com/aws/aws-lambda-base-images.

Maintenance policy

AWS will regularly provide security patches and other updates for these base images. These images are similar to the AWS Lambda execution environment on the cloud to allow customers to easily packaging functions to the container image. However, we may choose to optimize the container images by changing the components or dependencies included. When deployed to AWS Lambda these images will be run as-is.

Usage

You can get started by using these images in your Dockerfile and coping your class files into the /var/task folder in your image. The runtime jar dependencies should be copied into /var/task/lib directory.

Example Dockerfile below:

Example Gradle task definition to prepare the runtime dependencies:

If you are using Maven, adjust COPY command in the Dockerfile accordingly:

You can use maven-dependency-plugin to collect runtime dependencies:

Use mvn compile dependency:copy-dependencies -DincludeScope=runtime to compile the project and collect the runtime dependencies.

The resulting layout should look like:

You can then locally test your function using the docker build and docker run commands.

To build your image:

To run your image locally:

In a separate terminal, you can then locally invoke the function using cURL:

To learn more on deploying the function to ECR, check out the AWS documentation on Creating a repository and Pushing an image

Description from the Docker Hub listing.