Backed by

Open Source Deployment Tool for AWS and GCP

Serverless

VMs

Static Sites

Kubernetes

Deploy APIs & websites in minutes

Zero configuration release pipelines

Fully automated cloud infrastructure

Customize with Python & Terraform

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Serverless

VMs

Static Sites

Kubernetes

Python SDK Docs

Effortless deployments to multiple cloud providers

Use high level components that you can customize with Python. Everything is fully configured by default.

 1  import launchflow as lf
 2  
 3  # Build & Deploy a serverless API on AWS Lambda
 4  api = lf.aws.LambdaService(
 5    name="my-api",
 6    handler="app.handler",        # Automatic build pipelines
 7    domain="api.launchflow.com",  # Automatic SSL and DNS
 8    memory="10GB",                # And everything else you need
 9    ...
10  )

Deploy serverless apps on Lambda

Click to run the command

$ lf deploy dev --auto-approve

Why LaunchFlow

Native Multi-Environment Support

Define your infrastructure once, deploy to multiple environments with no extra setup

Dedicated VPC Network: Your networking, roles, and permissions are automatically configured with best practices.
Release Management: Build, deploy, and manage your applications with fully-configured CI/CD pipelines.
Powered by OpenTofu (Terraform): Customize the open source modules with Python, or bring your own OpenTofu / Terraform modules.

import launchflow as lf

instance_count = 0
db_class = "t2.micro"

if lf.environment == "staging":
      instance_count = 1
if lf.environment == "prod":
      instance_count = 2
      db_class = "m2.large"

Service(instance_count=instance_count)
Database(db_class=db_class)