Deploy a Bun application on AWS Lambda

Create a new Dockerfile

Create a new Dockerfile in the root of your project. This file contains the instructions to initialize the container, copy your local project files into it, install dependencies, and start the application.

# Use the official AWS Lambda adapter image to handle the Lambda runtime
FROM public.ecr.aws/awsguru/aws-lambda-adapter:0.9.0 AS aws-lambda-adapter

# Use the official Bun image to run the application
FROM oven/bun:debian AS bun_latest

# Copy the Lambda adapter into the container
COPY --from=aws-lambda-adapter /lambda-adapter /opt/extensions/lambda-adapter

# Set the port to 8080. This is required for the AWS Lambda adapter.
ENV PORT=8080

# Set the work directory to `/var/task`. This is the default work directory for Lambda.
WORKDIR "/var/task"

# Copy the package.json and bun.lock into the container
COPY package.json bun.lock ./

# Install the dependencies
RUN bun install --production --frozen-lockfile

# Copy the rest of the application into the container
COPY . /var/task

# Run the application.
CMD ["bun", "index.ts"]

Create a new .dockerignore file in the root of your project. It lists the files and directories to exclude from the container image, such as node_modules, which keeps builds faster and smaller:

node_modules
Dockerfile*
.dockerignore
.git
.gitignore
README.md
LICENSE
.vscode
.env
# Any other files or directories you want to exclude

Build the Docker image

Make sure you're in the directory containing your Dockerfile, then build the Docker image. This example names the image bun-lambda-demo and tags it as latest.

# cd /path/to/your/app
$ docker build --provenance=false --platform linux/amd64 -t bun-lambda-demo:latest .

Create an ECR repository

Before pushing the image, create an ECR repository to push it to.

The following command:

• Creates an ECR repository named bun-lambda-demo in the us-east-1 region
• Exports the repository URI as an environment variable. This is optional, but makes the next steps easier.

$ export ECR_URI=$(aws ecr create-repository --repository-name bun-lambda-demo --region us-east-1 --query 'repository.repositoryUri' --output text)
$ echo $ECR_URI

[id].dkr.ecr.us-east-1.amazonaws.com/bun-lambda-demo

$ export ECR_URI=$(aws ecr create-repository --repository-name bun-lambda-demo --region us-east-1 --profile my-sso-app --query 'repository.repositoryUri' --output text)
$ echo $ECR_URI
[id].dkr.ecr.us-east-1.amazonaws.com/bun-lambda-demo

Authenticate with the ECR repository

Log in to the ECR repository:

$ aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin $ECR_URI

Login Succeeded

$ aws ecr get-login-password --region us-east-1 --profile my-sso-app | docker login --username AWS --password-stdin $ECR_URI

Tag and push the docker image to the ECR repository

Make sure you're in the directory containing your Dockerfile, then tag the Docker image with the ECR repository URI.

$ docker tag bun-lambda-demo:latest ${ECR_URI}:latest

Then, push the image to the ECR repository.

$ docker push ${ECR_URI}:latest

Create an AWS Lambda function

Go to AWS Console > Lambda > Create Function > Select Container image

Give the function a name, like my-bun-function.

Select the container image

Go to the Container image URI section and click Browse images. Select the image you pushed to the ECR repository.

Then, select the latest image and click Select image.

Configure the function

To get a public URL for the function, go to Additional configurations > Networking > Function URL.

Set this to Enable, with Auth Type NONE.

Create the function

Click Create function at the bottom of the page.

Get the function URL

Once the function is created, you're redirected to its page. The function URL is in the "Function URL" section.

Test the function

Your app is now live. To test the function, either go to the Test tab or call the function URL directly.

$ curl -X GET https://[your-function-id].lambda-url.us-east-1.on.aws/

Hello from Bun on Lambda!