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scripts/aws/README.md
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@ -4,6 +4,12 @@ In this tutorial, you will learn how to deploy langflow on AWS using CDK.
This tutorial assumes you have an AWS account and basic knowledge of AWS.
The architecture of the application to be created: [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](https://aws.amazon.com/cdk/?nc2=type_a).
![langflow-archi](./img/langflow-archi.png)
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 [CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1).
1. Run the following commands in Cloudshell:
@ -28,6 +34,8 @@ This tutorial assumes you have an AWS account and basic knowledge of AWS.
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.