This content originally appeared on DEV Community and was authored by Vinayak Savale
Even in the most reliable systems, not every message can be processed successfully. 👉 What happens to those “poison messages”?
This is where Dead-Letter Queues (DLQs) come in.
🔹 What is a Dead-Letter Queue?
A sub-queue attached to every Queue or Topic Subscription in Azure Service Bus.
Stores messages that cannot be delivered or processed successfully.
Prevents endless retries or message loss.
🔹 Common Reasons Messages Go to DLQ
✔ Message exceeds TTL (Time-To-Live).
✔ Message is too large.
✔ Max Delivery Count exceeded (message kept failing processing).
✔ Explicit dead-lettering by application.
✅ Real-World Example
Imagine a payment processing system:
A malformed message without PaymentId keeps failing.
Instead of blocking the queue forever, it moves to DLQ for later inspection.
This ensures:
Healthy messages keep flowing.
Faulty messages can be debugged.
🔹 Accessing DLQ in .NET
🔹 Key Benefits of DLQ
✔ Reliability – Messages aren’t lost.
✔ Debugging – Root cause analysis of failed messages.
✔ Isolation – Poison messages don’t block valid ones.
🔹 Best Practices
Monitor DLQ regularly → Don’t let it overflow.
Automate processing → Create a retry mechanism.
Alerting → Set up Azure Monitor alerts for DLQ growth.
🔹 Wrapping Up
Dead-Letter Queues are your safety net in message-driven systems. They ensure your application remains resilient and messages are never silently lost.
In Day 5, we’ll explore Duplicate Detection in Azure Service Bus — how to prevent the same message from being processed multiple times.
💬 How are you handling poison messages in your systems? Do you rely on DLQ or custom error handling?
Azure #ServiceBus #DotNet #Messaging #DeadLetterQueue #CloudComputing #Microservices #Resilience #SystemDesign #ErrorHandling
This content originally appeared on DEV Community and was authored by Vinayak Savale
Vinayak Savale | Sciencx (2025-09-14T11:18:31+00:00) Day 4 – Handling Failures with Dead-Letter Queues (DLQ) in Azure Service Bus. Retrieved from https://www.scien.cx/2025/09/14/day-4-handling-failures-with-dead-letter-queues-dlq-in-azure-service-bus/
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