ISS Tracking Updates Automated

# ISS Tracking Updates Automated ## What It Does The ISS Tracking Updates Automated agent automates the process of fetching the current position of the International Space Station (ISS) and updates a Kafka topic with the latest information every minute. This enables data teams to have timely insights into the ISS's position, allowing for more informed decision-making. By automating this process, data teams can save time and effort that would be spent manually fetching and updating the ISS position. The agent ensures that the data is always up-to-date and readily available for analysis. ## Who Needs This Data Engineers who currently manually fetch and update the ISS position data are the ideal users for this automation. They often spend a significant amount of time ensuring that the data is accurate and up-to-date, taking away from other critical tasks. By automating this process, Data Engineers can focus on higher-value tasks and improve operational efficiency. ## How It Works — Step by Step 1. The agent is configured to fetch the current ISS position data from a reliable web source. 2. It then extracts the relevant information, including the ISS's latitude, longitude, and altitude. 3. The extracted data is formatted according to the required Kafka topic schema. 4. The agent establishes a connection to the specified Kafka topic. 5. It then sends the formatted ISS position data to the Kafka topic. 6. The Kafka topic is updated with the latest ISS position data every minute. 7. The agent handles any errors that may occur during the data fetching or sending process. 8. If an error occurs, the agent retries the operation to ensure that the data is successfully sent to the Kafka topic. 9. The agent continues to run in the background, ensuring that the Kafka topic remains up-to-date with the latest ISS position data. 10. You can monitor the agent's performance and adjust the configuration as needed. ## What You Get * ISS position data updated in Kafka every minute * Accurate and reliable data for analysis and decision-making * Time savings of up to 2 hours per week * Improved operational efficiency through automation * Reduced manual effort and associated errors ## Setup Requirements * Kafka topic credentials (bootstrap servers, topic name) * Web data fetching service API credentials (if required) * ISS data source URL or API endpoint * Data schema for the Kafka topic ## Pricing $19 one-time *No subscription. Yours to keep and run as many times as you want.*