@Marvin Is prefect schedule feature only available on Prefect Cloud?

Prefect schedules are available in both Prefect Cloud and Prefect open-source (formerly known as Prefect Core). Here's a brief breakdown: 1. Prefect Cloud: - Offers scheduling through event-driven automations. - Provides UI capabilities for managing schedules. - Automations and notifications can be managed based on configured schedules. - Pricing plans might influence the extent of scheduling features available. 2. Prefect open-source: - Supports schedules directly via code or deployment YAML files. - Lacks the advanced UI and notification features of Prefect Cloud but can still schedule flow runs through various programmatic methods. For detailed information, you can refer to the Prefect Schedules Documentation and Prefect Pricing and Features Overview. To summarize, while advanced features related to scheduling might be more accessible or enhanced in Prefect Cloud due to its managed service nature, basic scheduling functionalities are supported in both Prefect Cloud and Prefect open-source.

@Marvin Should I deploy a separate workflow for each input and schedule defined by a user?

Deploying a separate workflow (or deployment) for each input and schedule defined by a user isn't strictly necessary. However, it's often a practical approach depending on your use case. Here are some insights and considerations: ### Flexibility and Modularity Prefect’s modular architecture, including workers and work pools, allows you to create custom platforms tailored to your users' needs. This can include: - Deployment Templates: Create templates that can be repurposed, allowing different schedules and inputs without duplicating code. - Dynamic Assignment: Use work pools to dynamically manage infrastructure, which can adapt to varying workloads. ### Approach Options 1. Single Deployment with Dynamic Parameters: - You can create a single workflow that accepts parameters at runtime, dynamically adjusting behavior based on these inputs. - Use Prefect’s scheduling features to manage different schedules but maintain a single workflow version. 2. Separate Deployments: - This approach is more isolated and makes tracking and managing individual workflows easier. - Each user-defined input/schedule can have its deployment, making them easier to monitor and troubleshoot independently. - The Prefect UI and deployment CLI (

prefect deployment schedule

) provide tools to automate and manage these. ### Best Practices - Version Control: Keep different versions of your deployments under version control to manage updates and rollback if needed. - Testing and Validation: Ensure each deployment is thoroughly tested, particularly if user inputs might vary widely. - Resource Management: Be mindful of resource allocation and the potential overhead of maintaining multiple active deployments. ### Conclusion Ultimately, the decision should be guided by your specific requirements and the complexity of your workflows. To get further detailed guidance, refer to the deployment guide. For more details, you can also consult the Prefect Blog on Workflow Orchestration. If you have any further questions or need more specific examples, feel free to ask.

@Marvin Regarding Single Deployment with Dynamic Parameters, is it possible to have many schedules dynamically getting attached to it?

Yes, Prefect supports attaching multiple schedules dynamically to a single deployment. This flexibility allows you to have a single workflow deployment that can be triggered by multiple different schedules. ### How to Define Multiple Schedules You can define multiple schedules in your

prefect.yaml

file within the deployment section. Here's an example:

yaml
deployments:
  - name: my_deployment
    schedules:
      - cron: "0 0 * * *"
        timezone: "America/Chicago"
        active: false
      - cron: "0 12 * * *"
        timezone: "America/New_York"
        active: true
      - cron: "0 18 * * *"
        timezone: "Europe/London"
        active: true

### Scheduler Service The Prefect Scheduler service will visit these deployments and evaluate their schedules to create new runs accordingly. By default, the service checks deployments every 60 seconds and schedules the next three runs initially, though more can be scheduled if needed. ### Dynamic Scheduling You can dynamically manage the schedules through CLI commands or by updating the deployment configuration in Prefect UI. For more detailed information, refer to the Prefect Schedules Documentation. ### Summary - Multiple Schedules: Attach various schedules to a single deployment via the YAML configuration. - Dynamic Management: Utilize Prefect’s CLI and UI to manage schedules dynamically. - Flexible Execution: Prefect Scheduler service ensures new runs are created based on the defined schedules. Is this approach suitable for your needs, or do you need further examples or details?