RoughFeel

RoughFeel optimizes high-performance data ingestion and real-time processing through scalable, auto-scaling architecture on multi-processor clusters.

The key benefits of using RoughFeel include:

• RoughFeel optimizes high-performance data ingestion
• and real-time processing through scalable,
• auto-scaling architecture on multi-processor clusters

• RoughFeel optimizes high-performance data ingestion
• and real-time processing through scalable,
• auto-scaling architecture on multi-processor clusters

• python
• python framework (Flask/Django/FastAPI or equivalent)
• Pytest for testing

1. Clone the repository: git clone https://github.com/innayakendya/RoughFeel.git
2. cd RoughFeel
3. Install in editable mode: pip install -e .

RoughFeel is configured through environment variables (see .env.example). Key options:

• APP_ENV: development or production.
• PORT: Port the server listens on.
• LOG_LEVEL: debug, info, or error.

Contributions are welcome and appreciated. Please submit pull requests and issues through the GitHub interface.

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