This project is a Rust-based data ingestion service designed to efficiently collect, process, and store data from various sources in real-time. It utilizes asynchronous programming paradigms with the help of the Tokio runtime for high-volume data handling and is built with scalability and security in mind.

• Asynchronous Data Processing: Utilizes Rust's async/await features for non-blocking data processing.
• Microservices Architecture: Designed with microservices principles for enhanced scalability and maintainability.
• Secure Communication: Implements SSL/TLS for secure data transmission.
• Database Optimization: Features optimized database interactions for fast data storage and retrieval.
• Data Observability: Includes a built-in observability framework for real-time monitoring and alerting.
• CI/CD Integration: Ready for Continuous Integration and Continuous Deployment pipelines for automated testing and deployment.

• Rust and Cargo (latest stable version recommended)
• [Optional] Docker for containerization
• [Optional] Access to a database (e.g., PostgreSQL, MongoDB), if storing processed data

1. Clone the repository:

git clone https://github.com/yourusername/data_ingestion_service.git
cd data_ingestion_service

2. Build the project:

cargo build

3. Run the service:

cargo run

This will start the data ingestion service listening on localhost:8080 by default.

• To change the default listening port or database connection settings, edit the configuration file located at Config.toml (sample path).

After starting the service, it will begin listening for incoming data on the configured port. You can test the service using curl:

curl -X POST -H "Content-Type: application/json" -d '{"id": 1, "content": "test data"}' http://localhost:8080/data

To run the integrated tests, use the following command:

cargo test

The service can be deployed using traditional methods or containerized using Docker. A sample Dockerfile is included for building a Docker image.

# Dockerfile sample content here

Contributions are welcome! Please feel free to submit pull requests or open issues to discuss proposed changes or improvements.