A comprehensive guide to implementing data versioning and history tracking in Google Cloud Platform using Firestore subcollections and event sourcing principles. The solution enables tracking changes,
rolling back to previous versions, and analyzing data evolution over time while maintaining a simple yet powerful architecture.
Reasons to Read -- Learn:
how to implement a complete data versioning system in Firestore, with practical code examples in Go that you can directly adapt to your projects
how to create an audit trail system that tracks who changed what and when in your application, with specific implementation details for storing and retrieving historical records
implementing event sourcing patterns in a cloud environment, with concrete examples of how to structure your data models and handle both current and historical states
4 min readauthor: Stenal P Jolly
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