This article details the first part of a project to create a serverless global weather service using Python, GitHub Actions, and Netlify. Author Datalaria demonstrates how to build an automated data collector that fetches weather information from OpenWeatherMap API daily without server costs. The backend system uses Python scripts to retrieve and store data in CSV format, ensuring scalability by creating individual files per city. GitHub Actions automates the process via scheduled workflows, securely handling API keys through repository secrets.Netlify is proposed as an alternative for frontend deployment and lightweight serverless functions.

The article emphasizes architectural decisions for performance, such as avoiding large data loads and managing API rate limits. This approach benefits developers and data enthusiasts seeking cost-effective solutions for data collection and visualization. It illustrates modern serverless architecture practices, combining GitHub Actions for automation and Netlify for deployment, enabling scalable, maintainable applications.