Competition Queue Worker Drift

$ctf-sandbox-orchestrator

$ctf-sandbox-orchestrator

Quick Start

1. Map the async chain first: enqueue point, queue payload, worker consumer, retries, and final side effect.
2. Keep request-time state separate from worker-time state.
3. Record queue name, message shape, worker config, retry policy, and downstream store in one chain.
4. Compare synchronous path and async path when behavior diverges.
5. Reproduce the smallest enqueue-to-side-effect flow that proves the decisive async drift.

Workflow

1. Map Enqueue And Worker Identity

• Record queue names, topics, cron schedules, delayed jobs, dead-letter queues, worker processes, and consumer groups.
• Note which config, env vars, feature flags, or credentials exist only in the worker environment.
• Keep enqueue request, stored payload, and worker identity tied together.

2. Trace Worker-Only State And Retries

• Show how worker runtime differs from the request path: different env, files, mounts, caches, permissions, or clocks.
• Record retry count, backoff, dedupe keys, failure handling, dead-letter flow, and idempotency behavior.
• Distinguish immediate request success from eventual worker success or failure.

3. Reduce To The Decisive Async Chain

• Compress the result to the smallest sequence: enqueue -> worker runtime -> retry or branch -> resulting effect.
• State clearly whether the decisive difference lives in payload shape, worker config, retry path, or downstream consumer.
• If the issue is really about the file parser invoked by the worker, switch back to the tighter file-parser skill.

Read This Reference

• Load

  references/queue-worker-drift.md

  for the queue checklist, retry checklist, and evidence packaging.

What To Preserve

• Queue names, payloads, worker identities, retry metadata, dead-letter edges, and downstream effects
• The exact worker-only config or state that changes behavior
• One minimal enqueue-to-side-effect reproduction chain