diff --git a/scripts/aws/.env.example b/scripts/aws/.env.example
index 6ff0702f4..4778f7ca7 100644
--- a/scripts/aws/.env.example
+++ b/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_PASSWORD=654321
\ No newline at end of file
+LANGFLOW_SUPERUSER=admin
+LANGFLOW_SUPERUSER_PASSWORD=123456
\ No newline at end of file
diff --git a/scripts/aws/README.ja.md b/scripts/aws/README.ja.md
index f62de113b..d7fa5b0a4 100644
--- a/scripts/aws/README.ja.md
+++ b/scripts/aws/README.ja.md
@@ -4,41 +4,50 @@ 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。
 
 1. 以下のコマンドを実行します。
-```shell
-git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
-cd cloud9-setup-for-prototyping
-./bin/bootstrap
-```
+    ```shell
+    git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
+    cd cloud9-setup-for-prototyping
+    ./bin/bootstrap
+    ```
 
 1. `Done!` と表示されたら [Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/) から `cloud9-for-prototyping` を開きます。
-![make-cloud9](./img/langflow-cloud9.png)
+    ![make-cloud9](./img/langflow-cloud9.png)
 
 1. 以下のコマンドを実行します。
-```shell
-git clone -b aws-cdk-dev2 https://github.com/kazuki306/langflow
-cd langflow/scripts/aws
-cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
-npm ci
-cdk bootstrap
-cdk deploy
+    ```shell
+    git clone -b aws-cdk-dev2 https://github.com/kazuki306/langflow
+    cd langflow/scripts/aws
+    cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
+    npm ci
+    cdk bootstrap
+    cdk deploy
 ```
 1. 表示される URL にアクセスします。
-```shell
-Outputs:
-LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
-```
+    ```shell
+    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
-```
+    ```shell
+    cdk destroy
+    bash delete-ecr.sh
+    ```
 
 
 1. [CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started)を開き、`aws-cloud9-cloud9-for-prototyping-XXXX` を選択して削除します。
-![delete-cfn](./img/langflow-cfn.png)
\ No newline at end of file
+    ![delete-cfn](./img/langflow-cfn.png)
\ No newline at end of file
diff --git a/scripts/aws/README.md b/scripts/aws/README.md
index ddbccb10b..3912d5792 100644
--- a/scripts/aws/README.md
+++ b/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.
diff --git a/scripts/aws/img/langflow-archi.png b/scripts/aws/img/langflow-archi.png
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index 000000000..c46ae811d
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diff --git a/scripts/aws/img/langflow-signin.png b/scripts/aws/img/langflow-signin.png
new file mode 100644
index 000000000..3a8691a18
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