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.
Users can customize this workflow by:
- Changing the Trigger Frequency: Adjust the Cron node to trigger at different intervals (e.g., every 5 minutes or hourly) based on their needs.
- Modifying the API Endpoint: If a different satellite or more detailed data is required, users can change the URL in the HTTP Request node.
- Altering the Kafka Topic: Users can specify a different Kafka topic in the Kafka node to suit their data handling requirements.
- Adding Additional Data Processing: Users can insert additional nodes between the HTTP Request and Set nodes to process or filter the data further before sending it to Kafka.