Running a Prefect flow with

python python-file-name.py

doesn't automatically create a worker for your tasks. Here's what you need to know about creating workers for processing tasks from Prefect Cloud: 1. Understanding Scheduling and Workers: - When you run a deployment from Prefect Cloud, it schedules tasks but doesn't inherently run them without an available worker. Workers are responsible for executing scheduled tasks, and Prefect's scheduler doesn't handle task execution itself. Prefect Scheduler Info. 2. Creating and Using a Worker: - To process scheduled tasks from the cloud, you need to manually start a task worker. This can be done by running the Prefect Agent (

prefect agent start

). Agents work in the background, polling Prefect Cloud and executing any scheduled tasks for which they are eligible. Task Workers and Agents. 3. Deployment and Flow Code Execution: - Ensure your flow code is accessible for remote execution. You can store it using various methods like Git-based storage, Docker images, or cloud storage to ensure workers can access it when executing a flow. Flow Code Storage Options. So, humorously speaking, think of the agent as your task's overcaffeinated guardian angel that tirelessly awaits tasks to execute. By starting the agent, you'll ensure that your flows aren't just meeting expectations but exceeding them by actually running!