Fullstack AWS LocalStack

Development Services System for AWS LocalStack

Features

• LocalStack for AWS services emulation
• Docker Compose for service orchestration
• Java Spring Boot for backend development
• Angular for frontend development

Getting Started

Prerequisites

• Docker and Docker Compose installed
• Java Development Kit (JDK) installed
• Node.js and npm installed
• Angular CLI installed
• Maven installed
• Git installed
• Postman or any API testing tool
• IDE (IntelliJ IDEA, Visual Studio Code, etc.)
• AWS CLI installed (optional, for AWS interactions)
• LocalStack CLI installed (optional, for LocalStack interactions)
• Docker Desktop or Docker Engine running
• LocalStack running (can be started via Docker Compose)

Installation

1. Clone the repository:

   git clone

2. Navigate to the project directory:

    cd fullstack-aws-localstack

3. Start LocalStack using Docker Compose:

   docker-compose up -d

4. Build the backend service:

   cd backend
   gradlew clean build

5. Start the backend service:

   ./gradlew bootRun

6. Build the frontend service:

   cd dashbaord-ui
   npm install
   ng build --configuration=development

7. Start the frontend service:

   npm run start

8. Access the application: Open your web browser and navigate to http://localhost:4200.

   Accessing Dashboard UI

   login to the dashboard UI using the following credentials:

   • Username: admin
   • Password: admin123
   

   Accessing Home Page

   

   Accessing Status Page

   

   Accessing Resource Browser

   

   Accessing DynamoDB Browser

   

9. Access the backend API: Use Postman or any API testing tool to access the backend API at http://localhost:9800/webjars/swagger-ui/index.html.

DynamoDB Admin

To manage DynamoDB tables, you can use the DynamoDB Admin UI. Follow these steps:

1. Open your web browser and navigate to http://localhost:8001.

Minio Console

To manage Minio buckets, you can use the Minio Console. Follow these steps:

1. Open your web browser and navigate to http://localhost:9001/login.

2. Use the following credentials to log in:

   • Username: admin
   • Password: admin123

Author: Raul Bolivar Navas

License

This project is licensed under the MIT License - see the LICENSE file for details.