cc62a1f665* Update repository URLs to use langflow-ai instead of logspace-ai * Update chat-widget.mdx to remove unnecessary imports and dependencies
53 lines
2.8 KiB
Markdown
53 lines
2.8 KiB
Markdown
# 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 is deployed using AWS CDK. The application is distributed via [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls), which has two origins: the first is [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3) for serving a static website, and the second is an [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) for communicating with the backend. [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a), where FastAPI runs and [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a), the database, are created behind the ALB.
|
|
Fargate uses a Docker image stored in [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR).
|
|
Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a).
|
|
|
|
# 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
|
|
cat params.json | jq '.name |= "c9-for-langflow"'
|
|
./bin/bootstrap
|
|
```
|
|
1. When you see `Done!` in Cloudshell, open `c9-for-langflow` from [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/).
|
|
|
|
1. Run the following command in the Cloud9 terminal.
|
|
```shell
|
|
git clone https://github.com/langflow-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.frontendURLXXXXXX = https://XXXXXXXXXXX.cloudfront.net
|
|
```
|
|
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`.
|
|
|
|
|
|
# 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-c9-for-langflow-XXXX` and delete it.
|
|
|
|
s
|