Based on the research, I'll provide you with a practical example of how to create a continuously running flow in Prefect 3.x. There are several approaches you can take, depending on your specific needs: 1. Using a While Loop Inside the Flow

python
from prefect import flow
import time

@flow
def continuous_flow():
    while True:
        try:
            # Your flow logic here
            print("Processing...")
            time.sleep(60)  # Add appropriate delay between iterations
        except Exception as e:
            print(f"Error occurred: {e}")
            # Add error handling logic
            
if __name__ == "__main__":
    continuous_flow()

2. Using Scheduling with Deployments (Recommended Approach)

python
from prefect import flow
from datetime import timedelta

@flow(retries=3, retry_delay_seconds=30)
def my_flow():
    # Your flow logic here
    print("Processing...")

# Deploy the flow with a schedule
if __name__ == "__main__":
    my_flow.from_source(
        source="./flows.py",
        name="continuous-flow"
    ).deploy(
        interval=timedelta(minutes=1),  # Run every minute
        work_pool_name="your-work-pool"
    )

Important considerations: 1. Resource Management: - For the while-loop approach, be careful about memory leaks and resource cleanup - Include appropriate error handling and logging - Add reasonable delays between iterations to prevent overwhelming systems 2. Best Practices: - The scheduled deployment approach is generally preferred over infinite loops - It provides better observability and management through the Prefect UI - Allows for easier monitoring and troubleshooting 3. Infrastructure Considerations: - Ensure your infrastructure (workers/work pools) is configured for long-running processes - Consider using static infrastructure for consistent workloads - Monitor resource usage and implement appropriate error handling 4. Monitoring: - Use Prefect's built-in monitoring capabilities to track the flow's execution - Set up notifications for failures or important events - Implement appropriate logging to track the flow's progress The scheduled deployment approach is recommended because it: - Provides better reliability and restart capabilities - Allows for easier monitoring and management - Integrates better with Prefect's orchestration features - Prevents potential resource leaks You can view and manage your deployments through the Prefect UI or CLI, and monitor the execution status, logs, and any potential issues that arise. Would you like me to provide more specific details about any of these approaches or explain how to set up the infrastructure for your continuous flow?