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Air-Gapped Drone Data Operations with Delayed Sync and Auditability

· 8 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

Architecture for Air-Gapped Drone Data

Drones in air-gapped environments produce a lot of data (camera images, telemetry, logs, model outputs). Storing this data reliably on each drone and syncing it to a ground station later can be hard. ReductStore makes this easier: it's a lightweight, time-series object store that works offline and replicate data when a connection is available.

This guide explains a simple setup where each drone stores data locally with labels, replicates records to a ground station based on what it detects, and keeps a clear audit trail of what was captured and replicated.