Anything slow, bursty, or third-party belongs behind a queue — with idempotent workers, retry policies, and a dead-letter queue somebody actually
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Emails, exports, syncs, media processing, webhook fan-out — work whose latency shouldn't ride the user's request, and whose failures deserve retries instead of 500s.
Idempotent processing (retries are normal), timeouts, bounded concurrency, and per-job-type queues so the big export can't starve the password resets.
Exponential backoff, capped retries, then dead-letter with alerting and a replay tool — the DLQ nobody monitors is where customer promises go to die.
Queue depth, processing lag, and failure rates on dashboards with alerts — 'the emails are slow' should be a graph you saw yesterday, not a ticket today.
Skipping the discipline this article describes until an incident, audit, or stalled project forces it — every practice above is cheaper adopted early than retrofitted under pressure.
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