Deploy a Bun application on AWS Lambda | Bun English

AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers.

This guide deploys a Bun HTTP server to AWS Lambda using a Dockerfile.

Note

Before continuing, make sure you have:

A Bun application ready for deployment
An AWS account
AWS CLI installed and configured
Docker installed and added to your PATH

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:1.0.1 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"]

Note

Make sure that the start command corresponds to your application's entry point. The start command can also be CMD ["bun", "run", "start"] if you have a start script in your package.json.

If your app doesn't have dependencies, you can omit the COPY package.json bun.lock ./ and RUN bun install --production --frozen-lockfile lines. Bun doesn't write a bun.lock for a project with no dependencies.

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. Excluding them 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. The export is optional, but it 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 $ECR_URI
```
```
[id].dkr.ecr.us-east-1.amazonaws.com/bun-lambda-demo
```
Note
If you're using IAM Identity Center (SSO) or have configured AWS CLI with profiles, add the --profile flag to your AWS CLI commands.
For example, if your profile is named my-sso-app, use --profile my-sso-app. Run aws configure list-profiles to see your available profiles.
export ECR_URI=$(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

Authenticate with the ECR repository

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

Login Succeeded

Note

If using a profile, use the --profile flag:

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

Warning
Make sure you've selected the right region. This URL defaults to us-east-1.

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!
```