---
title: "Self-Healing Dead-Letter Queue & Automated Replay Pipeline | Distributed Systems Architecture Canon"
description: "Otomatik şema onarımı, üstel geri çekilmeli yeniden enjeksiyon ve nöbetçi mühendis inceleme arayüzü sunan akıllı ölü-mektup (DLQ) karantina sistemi."
image: "https://tinycto.tv/assets/distributed-systems/distributed_systems_architectures_og.jpg"
canonicalUrl: "https://tinycto.tv/tr/distributed-systems/architectures/dead-letter-triage-workstation"
locale: "tr"
---

# Self-Healing Dead-Letter Queue & Automated Replay Pipeline (`arch-dead-letter-triage-workstation`)

> **Mimari Sütun**: TRANSACTIONAL_SAGA | **Arketip**: LOG_STREAMING_PARTITIONING
> **PACELC**: PA/EL | **Uzlaşma Protokolü**: None

Otomatik şema onarımı, üstel geri çekilmeli yeniden enjeksiyon ve nöbetçi mühendis inceleme arayüzü sunan akıllı ölü-mektup (DLQ) karantina sistemi.

### 3 Olgunluk Seviyesi Yapılandırması

#### 1. Initial Target: 1,000 err/sec

- **Garantiler**: Basic Dead-Letter Topic Routing
- **Altyapı Topolojisi**: Consumer intercepts error and produces record to `<topic>.DLQ`.
- **Operasyonel Ödünleşim**: Requires manual CLI scripting to inspect and re-publish failed events.

#### 2. Scaled Target: 15,000 err/sec

- **Garantiler**: Automated 4-Tier Retry Delay Topics with PagerDuty Escalation
- **Altyapı Topolojisi**: Multi-stage delay topics (`orders.retry-1m`, `orders.retry-5m`, `orders.dlq`) with automated re-injection.
- **Operasyonel Ödünleşim**: Increases total cluster topic count and partition metadata.

#### 3. Ultra-Scale Target: 100,000 err/sec

- **Garantiler**: AI-Assisted Schema Patching & Instant Cluster-Wide Replay Workstation
- **Altyapı Topolojisi**: Dedicated stream isolation plane with web UI for reviewing failed payloads, fixing JSON fields, and triggering bulk replay.
- **Operasyonel Ödünleşim**: Requires governance around who is authorized to edit and replay customer payloads.

### Ele Alınan Hata Modları

- `DS-FAIL-04: Poison Pill Deadlock`
- `DS-FAIL-22: DLQ Silent Poison Accumulation`


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