add archi

scripts/aws/.env.example

@@ -1,3 +1,11 @@
+# Description: Example of .env file
+# Usage: Copy this file to .env and change the values
+#        according to your needs
+#        Do not commit .env file to git
+#        Do not change .env.example file
+# 　　　 You can set up a superuser's username and password
+#        If there is no need for user management, set LANGFLOW_AUTO_LOGIN=true and delete LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD.
+
 LANGFLOW_AUTO_LOGIN=false
-LANGFLOW_SUPERUSER=langflow
+LANGFLOW_SUPERUSER=admin
-LANGFLOW_SUPERUSER_PASSWORD=654321
+LANGFLOW_SUPERUSER_PASSWORD=123456

scripts/aws/README.ja.md

@@ -4,6 +4,12 @@ Langflow on AWS では、 Langflow を AWS 上にデプロイする方法を学
 
 このチュートリアルは、AWS アカウントと AWS に関する基本的な知識を有していることを前提としています。
 
+作成するアプリケーションのアーキテクチャです。
+![langflow-archi](./img/langflow-archi.png)
+[AWS CDK](https://aws.amazon.com/cdk/?nc2=type_a) によって  [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) を作成します。
+Auroraのシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。
+Fargate のタスクはフロントエンドとバックエンドに分かれており、サービス検出によって通信します。
+リソースをデプロイするだけであれば、上記の各サービスについて深い知識は必要ありません。
 
 # 環境構築とデプロイ方法
 1. [CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1)を開きます。
@@ -32,11 +38,14 @@ cdk deploy
     Outputs:
     LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
     ```
+1. サインイン画面でユーザー名とパスワードを入力します。`.env`ファイルでユーザー名とパスワードを設定していない場合、ユーザー名は`admin`、パスワードは`123456`で設定されます。
+    ![make-cloud9](./img/langflow-signin.png)
 
 # 環境の削除
 1. `Cloud9` で以下のコマンドを実行します。
     ```shell
     cdk destroy
+    bash delete-ecr.sh
     ```
 
 

scripts/aws/README.md

@@ -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.