GitOps for Geospatial Data: Building a Self-Healing, Zero-Cost Data Pipeline with GitHub Actions

Short summary

A detailed tutorial on building a serverless, self-healing geospatial data pipeline using GitOps principles and GitHub Actions at zero infrastructure cost. The author applies this to Village Finder, an open-source app tracking 78,000 Indian villages. Key techniques include treating data as code, separating structural data from volatile metrics, and running 90+ validation rules in CI.

• •Git-based data pipeline replaces traditional database/API stack at $0 cost
• •Structural data changes go through PR review; volatile metrics use history-less force-push branches
• •90+ pytest validation rules enforce data integrity in CI
• •GitHub's CDN serves flat-file JSON/CSV directly to the browser frontend

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