Automating Dead-Letter Queue Triage with Amazon Bedrock and AWS Step Functions

Dead-letter queues are designed to protect distributed systems, but in many environments they become a backlog of repetitive manual decisions. Engineers repeatedly inspect failed messages to determine whether they should be retried, suppressed, or escalated. In this session, we’ll explore a practical architecture that combines Amazon SQS, AWS Lambda, Amazon Bedrock, and AWS Step Functions to automate DLQ triage safely. Attendees will learn how to design a serverless workflow that can reduce manual triage by up to 60–80%, improve MTTR for transient failures, and maintain full auditability in production systems.
March 31, 2026 10:00 AM
PST
Live Webinar
Register Now

Panelists

Cyril Bandolo
Senior Serverless Developer & AWS Machine Learning Hero
Cyril is an AWS ML Hero & Senior Serverless Developer at Serverless Guru, specializing in serverless app development & Machine Learning.

What will you learn?

1
Cut Manual Triage by Up to 80%

Design a serverless workflow using Amazon SQS, Lambda, Bedrock, and Step Functions that automates the repetitive classify-retry-or-escalate decisions engineers make every day freeing your team to focus on work that actually requires human judgment

2
Automate with Confidence

Deterministic guardrails give you the efficiency of automation without exposing production to unsafe retries or unpredictable model behavior

3
Auditability Alongside Automation

See how AWS Step Functions keeps every triage decision explicit, observable, and traceable that production systems demand, even as automation handles the load

We're not just serverless enthusiasts, we're Serverless Gurus

We collaborate with Fortune 100+ companies, guiding them to understand, adopt, and transition into the serverless world. Our expertise lies in empowering existing developers to be effective with serverless technologies, ensuring your team can fully leverage its potential.

Secure Your Seat!

Dead-letter queues are designed to protect distributed systems, but in many environments they become a backlog of repetitive manual decisions. Engineers repeatedly inspect failed messages to determine whether they should be retried, suppressed, or escalated. In this session, we’ll explore a practical architecture that combines Amazon SQS, AWS Lambda, Amazon Bedrock, and AWS Step Functions to automate DLQ triage safely. Attendees will learn how to design a serverless workflow that can reduce manual triage by up to 60–80%, improve MTTR for transient failures, and maintain full auditability in production systems.
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