Deploy to AWS Lambda with LaunchFlow

Deploy a serverless API on AWS Lambda with LaunchFlow.

View the source code for this guide in our examples repo.

0. Create your Lambda function

If you already have an existing Lambda function, you can skip to step #1.

Create a new directory for your project.

1mkdir launchflow-lambda
2cd launchflow-lambda

Create a file named app.py with the following content:

1def handler(event, context):
2    return {
3        "statusCode": 200,
4        "body": "Hello from LaunchFlow!"
5    }

1. Initialize Launch Flow

Install the LaunchFlow Python SDK and CLI using pip.

1pip install launchflow[aws]

Initialize LaunchFlow in your project

1lf init --backend=local

Name your project
Select Yes for creating an example infra.py
Select AWS for your cloud provider
Select Lambda for your service

Once finished you will get an infra.py that looks like:

1import launchflow as lf
2
3# LambdaService Docs: https://docs.launchflow.com/reference/aws-services/lambda-service
4api = lf.aws.LambdaService("my-lambda-api", handler="TODO")

LambdaService will zip your local directory + Python environment and deploy it to AWS Lambda. You can provide additional fields to LambdaService to configure things like memory, timeout, or even a custom domain.

Update the LambdaService in your infra.py file to point to your Lambda handler in app.py

1import launchflow as lf
2
3# LambdaService Docs: https://docs.launchflow.com/reference/aws-services/lambda-service
4api = lf.aws.LambdaService("my-lambda-api", handler="app.handler")

2. Deploy your Service

Make sure you have local AWS credentials set up before deploying.

1lf deploy

Name your environment (dev is a good first name)
Select your cloud provider AWS
Confirm the resources to be created
Select the service to deploy

Once complete you will see a link to your deployed service on Lambda.

3. Cleanup your Resources

Optionally you can delete all your resources, service, and environments with:

1lf destroy
2lf environments delete

LaunchFlow Cloud usage is optional and free for individuals.

Using the local backend like we did above works fine for starting a project, but doesn't offer a way to share state between multiple users. LaunchFlow Cloud is a web-based service for managing, sharing, and automating your infrastructure. It's free small teams and provides a simple, secure way to collaborate with your team and automate your release pipelines.

1lf init --backend=lf

This will create a project in your LaunchFlow Cloud account and migrate your local state to the LaunchFlow Cloud backend.

What's next?

View your application in the LaunchFlow console
Learn more about Environments, Resources, and Services
Explore the Resource Reference to see all the resources you can create
Join the LaunchFlow Slack community to ask questions and get help

0. Create your Lambda function

1. Initialize Launch Flow

2. Deploy your Service

3. Cleanup your Resources

4. Visualize, Share, and Automate

What's next?