AWS Entity Data Consultation 🌐

Welcome to the AWS Entity Data Consultation repository! This project demonstrates how to store and retrieve entity data using AWS services, particularly OpenSearch. This README will guide you through the project setup, usage, and provide insights into the architecture.

Table of Contents

• Introduction
• Technologies Used
• Getting Started
• Project Structure
• How to Use
• Deployment
• Contributing
• License
• Releases

Introduction

This repository serves as an example project for developers looking to implement a solution for storing and retrieving entity data in AWS. The primary focus is on using OpenSearch for search capabilities, but we also utilize various AWS services to create a robust and scalable architecture.

Technologies Used

The following AWS services and technologies are used in this project:

• AWS API Gateway: To create and manage APIs.
• AWS CloudFormation: For infrastructure as code.
• AWS IAM: To manage access and permissions.
• AWS Lambda: To run backend code without managing servers.
• AWS OpenSearch: For search and analytics.
• AWS S3: For storing data.
• AWS SAM: For serverless application management.
• AWS Secrets Manager: To manage sensitive information.
• AWS SNS: For messaging.
• AWS SQS: For queuing.
• Python: As the primary programming language.

Getting Started

To get started with this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/monkthemonker/aws-entity-data-consultation.git
   cd aws-entity-data-consultation

2. Install dependencies: Ensure you have Python and pip installed. Then run:

   pip install -r requirements.txt

3. Set up AWS credentials: Make sure you have your AWS credentials configured. You can do this using the AWS CLI:

   aws configure

Project Structure

The project has the following structure:

aws-entity-data-consultation/
├── README.md
├── requirements.txt
├── template.yaml
├── src/
│   ├── lambda_function.py
│   └── utils.py
└── tests/
    ├── test_lambda_function.py
    └── test_utils.py

• README.md: This file.
• requirements.txt: Python dependencies.
• template.yaml: CloudFormation template for deployment.
• src/: Contains the source code for the Lambda functions.
• tests/: Contains unit tests for the code.

How to Use

To use this project, you can deploy the Lambda functions and APIs provided in the code. Here's how:

1. Deploy the application: Use AWS SAM to deploy:

   sam build
   sam deploy --guided

2. Access the API: After deployment, you will receive an API endpoint. You can use tools like Postman or curl to interact with the API.

3. Store Entity Data: You can send a POST request to the API to store entity data.

4. Retrieve Entity Data: Use a GET request to fetch stored data.

Deployment

This project uses AWS CloudFormation for deployment. The template.yaml file defines the resources needed for the application. You can modify this file to customize your deployment.

Steps for Deployment

1. Build the application: Run the following command:

   sam build

2. Deploy the application: Use the guided deployment option:

   sam deploy --guided

3. Follow the prompts: Provide the necessary information, such as stack name and region.

4. Check your AWS Console: After deployment, check the AWS Console for your resources.

Contributing

We welcome contributions to improve this project. If you want to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/YourFeature

3. Make your changes and commit them:

   git commit -m "Add your message here"

4. Push to your branch:

   git push origin feature/YourFeature

5. Create a pull request.

License

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

Releases

To download the latest release, visit the Releases section. You can find the files needed to be downloaded and executed.

Conclusion

This project serves as a practical example of using AWS services to manage entity data. By following the instructions in this README, you can set up, deploy, and use the application effectively. If you have any questions or suggestions, feel free to reach out or create an issue in the repository.

For the latest updates and releases, check the Releases section.