ComputeMempool: A Distributed Compute Manager leveraging real-time processing and auto-scaling for adaptive workload optimization.
ComputeMempool is aimed at developers who need a straightforward, dependable solution.
Highlights
- ComputeMempool: A Distributed Compute Manager
- leveraging real-time processing and auto-scaling
- for adaptive workload optimization
- ComputeMempool: A Distributed Compute Manager
- leveraging real-time processing and auto-scaling
- for adaptive workload optimization
- python
- Standard library, minimal dependencies
- unittest/pytest
- Clone the repository:
git clone https://github.com/fuad403273/ComputeMempool.git - Install dependencies:
pip install -r requirements.txt - Run the test suite:
pytest
To configure ComputeMempool, modify the settings in the configuration file. Options include:
- DEBUG: Enable or disable debug mode.
- ALLOWED_HOSTS: Set allowed hostnames.
- DATABASES: Configure database settings.
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.