Agentic AI Reference Architecture

Orchestration · Data store

Dead Letter Queue

Data storeOrchestrationOrchestration & Toolsarc:DeadLetterQueue

A holding store for poison messages that repeatedly fail processing, isolating them from healthy traffic.

Responsibility. Isolates messages that exceed retry limits.

Also known as: DLQ, Poison message queue, ETL dead letter queue

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Direct neighbourhood (hover for relationship types)

Relationships

is written by dependency

receives data from dynamic

sends data to dynamic

Design guidance

Classification

Technologies
AWS Lambda dead letter queues
Quality attributes
Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)
Risks mitigated
Poison messagesQueue congestion

Sources

  1. Ch1.3: T. Nguyen, "Multi-Agent Systems," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.3. ISBN: 9798244538229.
  2. Ch4.1: T. Nguyen, "Introduction to AI Agent Deployment and Scaling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.1. ISBN: 9798244538229.
  3. Ch4.2: T. Nguyen, "Deployment and Scaling," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 4.2. ISBN: 9798244538229.
  4. Ch6.3B: T. Nguyen, "ETL Worked Example - Load Phase & Pipeline Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.3B. ISBN: 9798244538229.