Simple example of AWS Lambda + custom image, usage: 1) docker build . -t test/hello-world 2) docker run --rm -p 9000:8080 test/hello-world:latest 3) curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{"foo": "test"}'

app.py

import sys

def handler(event, context):
    print(context)
    print(event)
    return 'Hello from AWS Lambda using Python' + sys.version + '!'

Dockerfile

FROM python:3.8-alpine

# Define global args
ARG FUNCTION_DIR="/home/app/"

RUN apk add --no-cache \
    libstdc++

# Install aws-lambda-cpp build dependencies
RUN apk add --no-cache \
    build-base \
    libtool \
    autoconf \
    automake \
    libexecinfo-dev \
    make \
    cmake \
    libcurl

# Create function directory
# Copy handler function
ADD app.py ${FUNCTION_DIR}

# Install Lambda Runtime Interface Client for Python
RUN pip install awslambdaric

# Set working directory to function root directory
WORKDIR ${FUNCTION_DIR}

# (Optional) Add Lambda Runtime Interface Emulator and use a script in the ENTRYPOINT for simpler local runs
ADD https://github.com/aws/aws-lambda-runtime-interface-emulator/releases/latest/download/aws-lambda-rie /usr/bin/aws-lambda-rie
COPY entry.sh /
RUN chmod 755 /usr/bin/aws-lambda-rie /entry.sh
ENTRYPOINT [ "/entry.sh" ]
CMD [ "app.handler" ]

entry.sh

#!/bin/sh
if [ -z "${AWS_LAMBDA_RUNTIME_API}" ]; then
    exec /usr/bin/aws-lambda-rie /usr/local/bin/python -m awslambdaric $1
else
    exec /usr/local/bin/python -m awslambdaric $1
fi