Automated ISS Location Updates to AWS SQS Every Minute

Overview

This workflow automates the process of retrieving the International Space Station's (ISS) current location every minute and delivering this data to an AWS SQS queue. It leverages n8n's scheduling, HTTP request, data transformation, and AWS SQS integration capabilities.

Key Features

• Automated Scheduling: Uses a Cron node to trigger the workflow every minute.
• Real-Time Data Fetching: Retrieves the latest ISS location via an HTTP Request node from a public API.
• Data Preparation: Utilizes a Set node to format and structure the location data for queue submission.
• AWS SQS Integration: Sends the processed data directly to an AWS SQS queue for downstream processing or storage.

Benefits

• Real-Time Updates: Ensures continuous, up-to-date tracking of the ISS location.
• Seamless Integration: Bridges external data sources with AWS infrastructure for scalable processing.
• Time Savings: Eliminates manual data retrieval and queue management, reducing operational overhead.
• Reliability: Scheduled automation guarantees consistent data flow without human intervention.

Use Cases

• Space Data Analytics: Feed ISS location data into analytics pipelines for research or visualization.
• Event-Driven Applications: Trigger downstream AWS services or notifications based on ISS position changes.
• Educational Tools: Provide real-time ISS tracking for educational platforms or public dashboards.