# Deploy a Bun application on AWS Lambda (/docs/guides/deployment/aws-lambda)
Related: [Deploy a Bun application on Vercel](/docs/guides/deployment/vercel.md), [Deploy a Bun application on Railway](/docs/guides/deployment/railway.md), [Deploy a Bun application on Render](/docs/guides/deployment/render.md), [Deploy a Bun application on DigitalOcean](/docs/guides/deployment/digital-ocean.md), [Deploy a Bun application on Google Cloud Run](/docs/guides/deployment/google-cloud-run.md)
[AWS Lambda](https://aws.amazon.com/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`.
Before continuing, make sure you have:
* A Bun application ready for deployment
* An [AWS account](https://aws.amazon.com/)
* [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html) installed and configured
* [Docker](https://docs.docker.com/get-started/get-docker/) installed and added to your `PATH`
***
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.
```docker Dockerfile icon="docker"
# 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"]
```
Make sure that the start command corresponds to your application's entry point. This 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 `RUN bun install --production --frozen-lockfile` line.
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:
```docker .dockerignore icon="Docker"
node_modules
Dockerfile*
.dockerignore
.git
.gitignore
README.md
LICENSE
.vscode
.env
# Any other files or directories you want to exclude
```
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`.
```bash terminal icon="terminal"
# cd /path/to/your/app
docker build --provenance=false --platform linux/amd64 -t bun-lambda-demo:latest .
```
Before pushing the image, create an [ECR repository](https://aws.amazon.com/ecr/) 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.
```bash terminal icon="terminal"
export ECR_URI=$(aws ecr create-repository --repository-name bun-lambda-demo --region us-east-1 --query 'repository.repositoryUri' --output text)
echo $ECR_URI
```
```txt
[id].dkr.ecr.us-east-1.amazonaws.com/bun-lambda-demo
```
If you're using IAM Identity Center (SSO) or have configured AWS CLI with profiles, add the `--profile` flag to your AWS CLI commands.
For example, if your profile is named `my-sso-app`, use `--profile my-sso-app`. Run `aws configure list-profiles` to see your available profiles.
```bash terminal icon="terminal"
export ECR_URI=$(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
```
Log in to the ECR repository:
```bash terminal icon="terminal"
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin $ECR_URI
```
```txt
Login Succeeded
```
If using a profile, use the `--profile` flag:
```bash terminal icon="terminal"
aws ecr get-login-password --region us-east-1 --profile my-sso-app | docker login --username AWS --password-stdin $ECR_URI
```
Make sure you're in the directory containing your `Dockerfile`, then tag the Docker image with the ECR repository URI.
```bash terminal icon="terminal"
docker tag bun-lambda-demo:latest ${ECR_URI}:latest
```
Then, push the image to the ECR repository.
```bash terminal icon="terminal"
docker push ${ECR_URI}:latest
```
Go to **AWS Console** > **Lambda** > [**Create Function**](https://us-east-1.console.aws.amazon.com/lambda/home?region=us-east-1#/create/function?intent=authorFromImage) > Select **Container image**
Make sure you've selected the right region. This URL defaults to
`us-east-1`
.
Give the function a name, like `my-bun-function`.
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**.
To get a public URL for the function, go to **Additional configurations** > **Networking** > **Function URL**.
Set this to **Enable**, with Auth Type **NONE**.
Click **Create function** at the bottom of the page.
Once the function is created, you're redirected to its page. The function URL is in the **"Function URL"** section.
Your app is now live. To test the function, either go to the **Test** tab or call the function URL directly.
```bash terminal icon="terminal"
curl -X GET https://[your-function-id].lambda-url.us-east-1.on.aws/
```
```txt
Hello from Bun on Lambda!
```