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Send updates about the position of the ISS every minute to a topic in Kafka

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For Kafka, this workflow automatically sends updates on the International Space Station's position every minute, providing real-time location data to enhance tracking and monitoring capabilities.

Workflow Overview

For Kafka, this workflow automatically sends updates on the International Space Station's position every minute, providing real-time location data to enhance tracking and monitoring capabilities.

This workflow is ideal for:

  • Developers looking to integrate real-time satellite data into their applications.
  • Data Analysts interested in tracking the International Space Station's (ISS) position for research or analysis.
  • Automation Enthusiasts who want to create automated systems that utilize live data feeds.
  • Educators teaching about space, satellites, or data integration, providing a practical example of real-time data usage.

This workflow addresses the need for real-time tracking of the ISS by:

  • Providing minute-by-minute updates on its position.
  • Allowing users to easily integrate this data into applications or systems via Kafka, enhancing data accessibility and usability.
  • Offering a straightforward solution to gather and publish live satellite data without complex setup or manual intervention.

The workflow consists of the following steps:

  1. Cron Node: Triggers the workflow every minute, ensuring timely updates on the ISS's position.
  2. HTTP Request Node: Sends a request to the API https://api.wheretheiss.at/v1/satellites/25544/positions to fetch the latest position data of the ISS, including latitude, longitude, and timestamp.
  3. Set Node: Extracts relevant information from the HTTP response, particularly the name, latitude, longitude, and timestamp of the ISS, preparing this data for the next step.
  4. Kafka Node: Publishes the extracted data to the Kafka topic iss-position, making it available for other systems or applications that subscribe to this topic.

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Quick Info

Categories
Schedule Triggered
Simple Workflow
Complexity
simple

Tags

api
integration
schedule
automation
simple
kafka

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