DLQ Architecture: Divert, Store, Alert

Concepts covered: paDeadLetterQueue

A DLQ is a separate storage destination (Kafka topic, SQS queue, S3 bucket) that captures failed records alongside their error metadata. The design has three components: diversion logic, storage schema, and alerting. DLQ Record Schema Storage Options

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This section is part of the Dead Letter Queue: Advanced lesson on DataDriven, a free data engineering interview prep platform. Each section includes explanations, worked examples, and hands-on code challenges that execute in real time. SQL queries run against a live PostgreSQL database. Python runs in a sandboxed Docker container. Data modeling problems validate against interactive schema canvases. All content is framed around what data engineering interviewers actually test at companies like Meta, Google, Amazon, Netflix, Stripe, and Databricks.

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