Who is this workflow for? This workflow automates the retrieval of the International Space Station’s (ISS) location every minute and sends the data to an AWS SQS queue. Leveraging n8n’s capabilities, it ensures continuous and reliable updates without manual intervention..

What does this workflow do?

  • Cron Node:
  • Function: Triggers the workflow every minute.
  • Configuration: Set to execute the workflow at one-minute intervals to ensure timely data retrieval.
  • HTTP Request Node:
  • Function: Fetches the current position of the ISS.
  • Configuration: Makes a GET request to https://api.wheretheiss.at/v1/satellites/25544/positions to obtain the latest geographical coordinates.
  • Set Node:
  • Function: Filters and formats the retrieved data.
  • Configuration: Ensures that only relevant information, such as latitude, longitude, and timestamp, is passed to the next node, maintaining data consistency.
  • AWS SQS Node:
  • Function: Sends the formatted ISS position data to an AWS SQS queue.
  • Configuration: Targets the iss-position queue, or any other specified queue, ensuring the data is reliably queued for further processing or integration.

🤖 Why Use This Automation Workflow?

  • Continuous Monitoring: Automatically fetch ISS positions every minute for real-time tracking.
  • Seamless Integration: Directly interfaces with AWS SQS, facilitating smooth data handling and scalability.
  • Efficiency and Reliability: Reduces manual workload and minimizes the risk of errors through automation.

👨‍💻 Who is This Workflow For?

This workflow is designed for developers, space enthusiasts, educators, and organizations that need real-time ISS position data for applications such as monitoring dashboards, data analysis, or integrating with other automated systems.

🎯 Use Cases

  1. Real-Time Tracking Dashboards: Display live ISS position data on interactive dashboards for educational or monitoring purposes.
  2. Data Collection and Analysis: Aggregate ISS location data over time for research, statistical analysis, or pattern detection.
  3. Automated Alert Systems: Trigger notifications or actions based on the ISS’s proximity to specific geographic locations.

TL;DR

This n8n workflow provides an automated solution to continuously fetch the ISS’s location every minute and queue the data in AWS SQS. By implementing this workflow, users can effortlessly integrate real-time ISS position updates into their applications, enabling functionalities such as live tracking, data analysis, and automated alerts.

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