ApexCygnus harnesses advanced, distributed, and containerized architecture for ultra-efficient real-time processing and auto-scaling capabilities.
ApexCygnus is built to be simple and practical, focusing on doing one thing well.
Why ApexCygnus?
- ApexCygnus harnesses advanced, distributed, and
- containerized architecture for ultra-efficient real-time
- processing and auto-scaling capabilities
- ApexCygnus harnesses advanced, distributed, and
- containerized architecture for ultra-efficient real-time
- processing and auto-scaling capabilities
- typescript
- Standard library, minimal dependencies
- unittest/pytest
- Clone the repository:
git clone https://github.com/yhonaach/ApexCygnus.git - Install required dependencies:
pip install -r requirements.txt
Most behavior is controlled via command-line flags:
--verbose: enable detailed logging--config <path>: point to a custom config file--dry-run: preview changes without applying them
Contributions are welcome and appreciated. Please submit pull requests and issues through the GitHub interface.
Released under the MIT License — see the LICENSE file.