# Stop the service sudo systemctl stop paulie sudo systemctl disable paulie pip uninstall paulie-scheduler Delete configuration and job data (optional) rm -rf ~/.paulie sudo rm -rf /var/log/paulie sudo rm /etc/systemd/system/paulie.service Remove the virtual environment rm -rf paulie-env Conclusion: Your Next Steps After a Successful Paulie Install Completing a paulie install gives you a foundation for reliable, Python-based automation. Unlike heavy orchestration tools, Paulie prioritizes simplicity and low latency—making it perfect for edge devices, CI/CD pipelines, and backend job processing.
paulie --version # Expected output: paulie, version 2.1.0 Use this approach if you need the latest unreleased features or plan to contribute to the codebase.
paulie start Even with a straightforward paulie install , things can go wrong. Here are the most frequent pitfalls and their solutions.
@job.schedule("0 2 * * *") # Runs daily at 2 AM def database_backup(): # Your backup logic here logging.info("Starting automated database backup...") # ... implementation
Create /etc/systemd/system/paulie.service :
git clone https://github.com/paulie-io/paulie-core.git cd paulie-core python -m venv venv source venv/bin/activate pip install -e . The -e flag installs in "editable" mode, allowing you to modify source files and see changes immediately. Containerized paulie install is ideal for Kubernetes, AWS ECS, or testing.
pip install paulie-prometheus-exporter Then enable in config.yaml :
docker build -t paulie-server . docker run -d -p 8080:8080 --name paulie-prod paulie-server A bare paulie install works out of the box with default settings. However, for real workloads, you need a configuration file. Create ~/.paulie/config.yaml :
# Stop the service sudo systemctl stop paulie sudo systemctl disable paulie pip uninstall paulie-scheduler Delete configuration and job data (optional) rm -rf ~/.paulie sudo rm -rf /var/log/paulie sudo rm /etc/systemd/system/paulie.service Remove the virtual environment rm -rf paulie-env Conclusion: Your Next Steps After a Successful Paulie Install Completing a paulie install gives you a foundation for reliable, Python-based automation. Unlike heavy orchestration tools, Paulie prioritizes simplicity and low latency—making it perfect for edge devices, CI/CD pipelines, and backend job processing.
paulie --version # Expected output: paulie, version 2.1.0 Use this approach if you need the latest unreleased features or plan to contribute to the codebase.
paulie start Even with a straightforward paulie install , things can go wrong. Here are the most frequent pitfalls and their solutions. paulie install
@job.schedule("0 2 * * *") # Runs daily at 2 AM def database_backup(): # Your backup logic here logging.info("Starting automated database backup...") # ... implementation
Create /etc/systemd/system/paulie.service : # Stop the service sudo systemctl stop paulie
git clone https://github.com/paulie-io/paulie-core.git cd paulie-core python -m venv venv source venv/bin/activate pip install -e . The -e flag installs in "editable" mode, allowing you to modify source files and see changes immediately. Containerized paulie install is ideal for Kubernetes, AWS ECS, or testing.
pip install paulie-prometheus-exporter Then enable in config.yaml : paulie start Even with a straightforward paulie install
docker build -t paulie-server . docker run -d -p 8080:8080 --name paulie-prod paulie-server A bare paulie install works out of the box with default settings. However, for real workloads, you need a configuration file. Create ~/.paulie/config.yaml :