Data & AI

Dead Letter Queue Pattern in Streaming

Data & AI Pipelines diagram · made in Skemio

Architecture diagram of Dead Letter Queue pattern showing stream consumer splitting valid events into analytics DB and failed events into quarantine DLQ.
Architecture diagram of Dead Letter Queue pattern showing stream consumer splitting valid events into analytics DB and failed events into quarantine DLQ.
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What it shows

  • Schema validation isolates poison-pill events before processing begins.
  • Malformed payloads reroute to a dead letter topic with error metadata.
  • Primary consumers maintain throughput without getting blocked by bad data.

The takeaway

Quarantine bad records into a DLQ immediately to protect streaming availability and SLAs.

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