To build efficient container images, follow the Best practices for writing Dockerfiles ... To create a Lambda function from a container image, build your image locally and upload it to an Amazon Elastic Container Registry (Amazon ECR) repository. If you're using a container image provided by an AWS ...

The following is an example of a Dockerfile created by the .NET 8 (Container Image) blueprint. FROM public.ecr.aws/lambda/dotnet:8 WORKDIR /var/task # This COPY command copies the .NET Lambda project's build artifacts from the host machine into the image. # The source of the COPY should match ...

For example, here's what your requirements.txt should look like if your function uses the AWS SDK for Python (Boto3): ... Use the COPY command to copy the function code and runtime dependencies to {LAMBDA_TASK_ROOT}, a Lambda-defined environment variable. Set the CMD argument to the Lambda function handler. Note that the example Dockerfile does not include a USER instruction

May 29, 2023 - I have created a simple sample Git repo that contains the most basic Dockerfile along with the code structure you need to create a docker image that can be used to deploy lambda functions. Details on how to use this example code to deploy the imgae to lambda are given in the README.md

The runtime interface client extends the Runtime API, which manages the interaction between Lambda and your function code. ... The following example demonstrates how to build a container image for Node.js using a non-AWS base image. The example Dockerfile uses a bookworm base image.

FROM public.ecr.aws/lambda/python:3.xx # Copy function code COPY app.py ${LAMBDA_TASK_ROOT} COPY requirements.txt ${LAMBDA_TASK_ROOT} # install dependencies RUN pip3 install --user -r requirements.txt # Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile) CMD [ "app.lambda_handler" ] In the FROM command, use appropriate value for the Python version that is supported by Lambda (for example, 3.12).

Transform: 'AWS::Serverless-2016-10-31' Description: An AWS Serverless Specification template for deploying lambda functions using a Docker container image Resources: Function: Type: 'AWS::Serverless::Function' Properties: FunctionName: <lambda function name> Description: <description about lambda function> PackageType: Image Timeout: 60 Metadata: Dockerfile: Dockerfile DockerContext: .

December 24, 2025 - LAMBDA_TASK_ROOT is /var/task, the working directory set in the base image COPY lambda_function.py ${LAMBDA_TASK_ROOT} # Set the CMD to your handler - lambda_handler CMD ["lambda_function.lambda_handler"] A Dockerfile usually starts with a base image. To deploy an application as a Docker container in AWS Lambda, the base image has to be of a specific kind, depending on the application run-time.

December 13, 2022 - First, add a Docker file with Amazon’s basic Node.js Lambda image, as you see on line 1: FROM amazon/aws-lambda-nodejs:14 COPY package.json ${LAMBDA_TASK_ROOT} RUN npm install COPY index.js ${LAMBDA_TASK_ROOT} CMD ["index.handler"]

aws lambda update-function-code \ --function-name hello-world \ --image-uri 111122223333.dkr.ecr.us-east-1.amazonaws.com/hello-world:latest \ --publish · You can build a container image for Go from a non-AWS base image. The example Dockerfile in the following steps uses an Alpine base image

July 11, 2023 - aws lambda update-function-code \ --region us-east-1 \ --function-name container-test \ --image-uri 733977735356.dkr.ecr.us-east-1.amazonaws.com/container-test:latest · So there you go, I have containers working in lambdas. And this will work with any software stack that you can get inside a linux container. From where I’m at now, it’s not far to a full deployment solution. To get there, first I’ll make my docker container inside an Earthfile.

Note that the example Dockerfile does not include a USER instruction · . When you deploy a container image to Lambda, Lambda automatically defines a default Linux user with least-privileged permissions. This is different from standard Docker behavior which defaults to the root user when no USER instruction is provided. FROM public.ecr.aws/lambda/java:21 # Copy function code and runtime dependencies from Maven layout COPY target/classes ${LAMBDA_TASK_ROOT} COPY target/dependency/* ${LAMBDA_TASK_ROOT}/lib/ # Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile) CMD [ "com.example.myapp.App::handleRequest" ]

May 24, 2021 - The shared library image is pulled from ECR and the extension image is pulled from Docker Hub. FROM public.ecr.aws/myrepo/shared-lib-layer:1 AS shared-lib-layer # Layer code WORKDIR /opt COPY --from=shared-lib-layer /opt/ .

January 21, 2021 - This allows developers to test functions locally using familiar tools such as cURL and the Docker CLI. Build the previous custom runtime image using the Docker build command: docker build -t phpmyfuntion .

August 5, 2025 - For information about Python version support in Lambda, see Building Lambda functions with Python. Run the following command once for each runtime that you specified in the directory structure: docker run -v "$PWD":/var/task "public.ecr.aws/sam/build-python3.x" /bin/sh -c "pip install -r requirements.txt -t python/; exit"

December 4, 2020 - docker run --rm -p 8080:8080 lambda-docker-hello-world · Once it’s running, in another window use the AWS CLI to invoke the local container.

lambda-docker-example$ sam local start-api lambda-docker-example$ curl http://localhost:3000/ The SAM CLI reads the application template to determine the API's routes and the functions that they invoke. The Events property on each function's definition includes the route and method for each path. Events: HelloWorld: Type: Api Properties: Path: /hello Method: get · The application template uses AWS Serverless Application Model (AWS SAM) to define application resources.

June 3, 2024 - To use a container image for your Lambda function, you first build and push the Docker image to an ECR repository. Then, you create the Lambda function and specify the ECR image URI as the deployment package. To show how this works in practice, this walkthrough uses an environment with the AWS CLI, python, and Docker installed.