Who is this workflow for? Ensure your scheduled workflows run seamlessly without overlapping executions. This workflow prevents multiple instances of the same process from running concurrently, maintaining system stability and data integrity..

What does this workflow do?

  • Monitoring Workflow Execution:
  • A separate workflow continuously monitors the status of the main workflow.
  • Flag Management with Redis:
  • When the main workflow starts, a flag is set in Redis using a dynamically named key based on the workflow ID.
  • This flag indicates that the main workflow is currently running.
  • Conditional Execution:
  • Before initiating the main workflow, the monitoring workflow checks the Redis flag.
  • If the flag indicates the main workflow is idle, the main workflow is triggered.
  • If the flag shows the main workflow is still running, the new execution is skipped to prevent overlap.
  • Resetting the Flag:
  • Once the main workflow completes, the Redis flag is cleared, indicating that the workflow is idle and ready for the next execution.
  • Configure Redis Credentials:
  • Update the workflow with credentials suitable for your Redis instance to enable flag storage and retrieval.
  • Modify Workflow Triggers:
  • Replace the existing Schedule Trigger in your main workflow with an Execute Workflow Trigger to allow external control.
  • Integrate Workflow ID:
  • Copy the workflow ID from the URL of your main workflow.
  • Paste this ID into the Execute Workflow node of the monitoring workflow to establish the connection.
  • Configure Scheduling:
  • Set up the Schedule Trigger node in the monitoring workflow according to your desired execution frequency.

By following these steps, you can implement a robust system that ensures your workflows execute without overlapping, maintaining optimal performance and data integrity.

This workflow integrates seamlessly with tools like Notion, Merge, HTTP Request, WhatsApp, Google Sheets, Microsoft Excel, Gmail, and others, allowing for versatile automation across various platforms.

🤖 Why Use This Automation Workflow?

  • Avoid Overlaps: Prevent workflows from starting while a previous instance is still running.
  • Resource Management: Optimize the use of system resources by avoiding redundant processes.
  • Data Consistency: Maintain accurate and consistent data by ensuring only one workflow instance modifies data at a time.

👨‍💻 Who is This Workflow For?

This workflow is ideal for developers, system administrators, and automation specialists who manage scheduled tasks and need to ensure that their workflows do not interfere with each other, especially when executions may vary in duration.

🎯 Use Cases

  1. Data Processing Jobs: Ensure that data aggregation or transformation tasks do not run simultaneously, preventing data corruption.
  2. Automated Reporting: Avoid multiple report generation processes running at the same time, which can lead to resource contention.
  3. Scheduled Notifications: Prevent overlapping notification sends, ensuring recipients receive each notification only once.

TL;DR

This workflow leverages Redis to efficiently manage and prevent simultaneous executions of scheduled workflows. By monitoring workflow statuses and controlling execution triggers, it ensures that processes run smoothly without overlapping, enhancing system reliability and performance.

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