Help and support
Artificio Workflow Scheduler
The Scheduler in Artificio is a feature located within the Automation tab that allows you to automate the execution of your pre-defined Workflows at specific times, either once or on a recurring basis.
Key Concepts
Workflow: A sequence of steps or tasks that you define to achieve a specific outcome. You must create a Workflow first before you can schedule it.
Scheduler: The mechanism that tells Artificio when and how often to run a chosen Workflow automatically.
Creating a New Scheduler
Navigate to the Scheduler List:
Go to the Automation tab.
Click on the Schedule option. This will display the Scheduler List (if any schedulers already exist).
Start Creation:
Click the Create button.
Enter Details:
Name: A clear, identifying name for your scheduled task (e.g., "Monthly Data Cleanup," "Daily Report Generation").
Description (Optional): A brief explanation of what the scheduler does.
Workflow: Select the specific Workflow you wish to run automatically from the dropdown list.
Set Timing:
Time Zone: Select the relevant time zone to ensure the workflow runs precisely when intended, regardless of your current location.
Date Timings: Specify the start date and time for the execution.
Recurrence: Choose how often the workflow should run:
Once: The workflow will run at the specified date and time only and then become inactive.
Recurring: You will set a pattern (e.g., daily, weekly, monthly) for the workflow to run automatically until a specified end date (if any).
Save: Once all details are entered, save the scheduler. It will then be active and ready to run according to the set timings.
📝 Monitoring and Logs
Once a scheduler is created, it will automatically run the selected Workflow at the specified timings. You can monitor its activity and troubleshoot issues:
Status: The Scheduler List view will show the current status of your scheduled tasks (e.g., Active, Completed, Failed).
Logs Tab: Use the Logs tab associated with the scheduler to get a detailed picture of its execution history. The logs provide information about when each run occurred, whether it succeeded or failed, and any system messages, which is vital for debugging.