Keep the lesson for the next incident
Document the upload state machine
Record the states a person can observe from selection through preparation, transfer, processing, failure, cancellation, retry, and completion. Explain which boundary stalled and how progress was interpreted. Include representative file size and type without retaining sensitive content in a shared example.
Keep a focused recovery journey
Preserve a repeatable check for normal completion, interrupted transfer, retry, cancel, validation failure, and duplicate prevention. Define the evidence that distinguishes accepted from processed. Assign ownership for updating the journey when the storage path or upload interaction changes.
Recheck after file and pipeline changes
Review the representative cases after new validation, encoding, storage, processing, or progress logic is introduced. Compare preparation and transfer separately from post-acceptance work. Add a new case when a different file type has its own processing boundary instead of stretching one limit.
What to carry forward
The learning record should retain the upload states, representative file shapes, last confirmed boundaries, recovery contract, and recurrence trigger. It is complete when future engineers can reproduce the stall without sensitive data and can tell whether a change affects transfer, processing, feedback, or integrity.
Keep the decision with the work.
Use a Work Item in Aglet to record the problem, the evidence you have, and the next decision. Add an owner and priority, then keep updates in the discussion so the next person can follow the reasoning.
Create an account See the product workflow