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serverless-awslambda-container

Create an AWS Lambda powered API endpoint using a custom build Ubuntu base image for ECR container.

Getting Started

Install serverless framework via NPM or as a standalone binary.

$ sls --version
Framework Core: 3.31.0
Plugin: 6.2.3
SDK: 4.3.2

You should also have permissions to deploy to AWS Lambda, ECR, Cloudwatch, S3, and create IAM Lambda execution role.

Create an environment file .env with AWS profile infomation.

The sample .env file below also has environment vars necessary for currect serverless.yml.

AWS_PROFILE="my-profile-name"
AWS_REGION="us-east-1"
ENVIRON_VARIABLE_1="HelloWorld"
TAG_MANAGED_BY="email@example.com"
TAG_COST_CENTER="12345-05432"

Deploy

Add AWS credentials to ~/.aws/credentials

To build container from dockerfile and deploy to ecr for lambda

sls deploy

To remove everything created by serverless

sls remove

Make sure to save the .serverless directory as it contains JSON statefiles which are helpful for future updates.

Writing the application

The Dockerfile will copy over everything in the app directory and install python requirements from requirements.txt

# Copy function code
COPY ./app/ ${LAMBDA_TASK_ROOT}/

# Install function dependencies
COPY requirements.txt /
RUN pip install \
    -r "/requirements.txt" \
    --target "${LAMBDA_TASK_ROOT}"

You can add additional dependencies and build up your code within the app directory.

Lambda supports container images upto 10GB in size.

Best of luck!

References

https://aws.amazon.com/blogs/aws/new-for-aws-lambda-container-image-support/

https://docs.aws.amazon.com/lambda/latest/dg/images-create.html

https://aws.amazon.com/blogs/opensource/simplify-development-using-aws-lambda-container-image-with-a-serverless-framework/