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Edtech Platform Outlines Private Storage and Deletion Strategy for Large AI-Generated Reports

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A technical guide recommends storing AI-generated edtech reports in a private object-storage bucket, using multipart uploads for unusually large image files. It argues that a completed upload should not imply indefinite retention, so each report needs a database record tracking its state, retention deadline, and upload progress. Access is granted only after authorization checks, using short-lived signed URLs rather than permanent links. The approach treats multipart uploads as leased work that a reconciler can resume or abort, and it separates deletion of completed objects from cleanup of incomplete uploads.

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