Aglet

How to verify queue backlog drain without losing work

Verification must show that a queue catches up safely and that delayed work reaches the correct visible state. Replay representative arrivals and backlog conditions, observe drain and recovery, and inspect failures, retries, ordering, duplicate prevention, and work isolation throughout from buildup through recovery.

Check whether the outcome improved

  1. Replay healthy and backlog flow

    Use the same work classes, arrival mix, item sizes, consumer settings, and dependency conditions as the baseline in a controlled environment. Record depth, oldest age, arrival, completion, service time, retries, and final outcomes. Keep the observation window long enough to include both buildup and drain.

  2. Check ordering, loss, and isolation

    Verify required ordering, no missing items, no duplicate effects, and correct handling of a failing or slow item beside unrelated work. Confirm new arrivals remain visible and critical work is not silently starved. Compare identifiers and final state across the whole sample.

  3. Observe customer-visible recovery

    Follow representative items from queue entry through the action they support. Check stale or partial status, retry messaging, final records, and recoverability after a worker or dependency failure. Continue after depth normalizes to catch residual retries, delayed notifications, or incorrect completion.

What to carry forward

Classify backlog behavior as recovered, regressed, unchanged, or inconclusive with flow, age, isolation, and final-state evidence attached. It passes only when work drains without loss or duplication, required ordering holds, unrelated classes proceed, and delayed outcomes become trustworthy.

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.

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