# Deploy Langflow on AWS **Duration**: 30 minutes ## Introduction In this tutorial, you will learn how to deploy langflow on AWS using [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (CDK). This tutorial assumes you have an AWS account and basic knowledge of AWS. The architecture of the application to be created: ![langflow-archi](./img/langflow-archi.png) [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls), [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a) and [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a) are created by AWS CDK. The aurora's secrets are managed by [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a). The Fargate task is divided into a frontend and a backend, which communicate through service discovery. If you just want to deploy resources, you do not need in-depth knowledge of each of the above services. # How to set up your environment and deploy langflow 1. Open [AWS CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1). 1. Run the following commands in Cloudshell: ```shell git clone https://github.com/aws-samples/cloud9-setup-for-prototyping cd cloud9-setup-for-prototyping ./bin/bootstrap ``` 1. When you see `Done!` in Cloudshell, open `cloud9-for-prototyping` from [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/). ![make-cloud9](./img/langflow-cloud9-en.png) 1. Run the following command in the Cloud9 terminal. ```shell git clone -b aws-cdk https://github.com/logspace-ai/langflow.git cd langflow/scripts/aws cp .env.example .env # Edit this file if you need environment settings npm ci cdk bootstrap cdk deploy ``` 1. Access the URL displayed. ```shell Outputs: LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com ``` 1. Enter your user name and password to sign in. If you have not set a user name and password in your `.env` file, the user name will be set to `admin` and the password to `123456`. ![signin-langflow](./img/langflow-signin.png) # Cleanup 1. Run the following command in the Cloud9 terminal. ```shell bash delete-resources.sh ``` 1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-cloud9-for-prototyping-XXXX` and delete it. ![delete-cfn](./img/langflow-cfn.png)