Stop Fighting Your Dead Letter Queues

Centralised Azure Service Bus dead letter management for DevOps teams. AI-powered insights, batch operations, and real-time Slack notifications.

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DeadLetterOps message detail view showing error analysis, message metadata, and AI-powered similar message detection

What Is a Dead Letter Queue?

Message Sent

Processing

Fails

Dead Letter Queue

A dead letter queue (DLQ) is where messages go when they can't be delivered or processed. Without proper tooling, critical business data gets stuck silently - and you only find out when customers complain.

Common causes:

Poison Messages

Messages that cause processing errors every time

Expired Messages

Exceeded time-to-live before processing

Filtered Out

Don't match any subscription filter rules

Quota Exceeded

Queue or topic is full

DeadLetterOps gives you visibility into every dead letter across all your Azure Service Bus namespaces.

Everything You Need to Manage Dead Letters

Built specifically for Azure Service Bus with deep integration and powerful automation

Built for Azure Service Bus

Native Azure Service Bus integration with support for queues, topics, and subscriptions. Monitor listener health, track message lineage, and manage dead letters across all your namespaces.

Find Related Failures in Seconds

Our AI analyzes message content and metadata to find similar failures across your system. Identify patterns and root causes significantly faster than manual investigation.

Requeue or Delete Up to 100 Messages at Once

Stop processing messages one-by-one. Select up to 100 messages and requeue or delete in bulk. Edit message content before replay or send to alternate queues.

Organize Failures with Issue Buckets

Group related dead letter messages into issue buckets. Track resolution status, assign to team members, and maintain a clear audit trail of incident response.

Get Alerted When It Matters

Connect your Slack workspace and receive instant notifications when new dead letter messages arrive. Configure alerts per namespace, queue, or message pattern.

AI Assistant Integration

Manage failures from Claude Code, ChatGPT, or any MCP-compatible assistant. Query dead letters naturally from your terminal: "Show failed orders in the last hour" or "Requeue all payment timeouts".

Slack notification from DeadLetterOps showing 9 dead letter messages detected with AI analysis identifying auto-deadlettering in orders queue

Get instant Slack notifications with AI-powered analysis of dead letter patterns

Manage Dead Letters from Your Terminal

Built with native support for the Model Context Protocol (MCP) - Anthropic's open standard for AI coding assistant integrations. Query, analyze, and fix dead letters without leaving your terminal or IDE.

Works with Claude Code, ChatGPT, and any MCP-compatible coding assistant. Manage incidents without leaving your terminal - setup takes less than 2 minutes.

What you can do:

"Show me all failed orders in the last hour" Natural language queries across all namespaces
"Find similar payment failures" AI similarity search without leaving your assistant
"Requeue all timeout messages to the retry queue" Bulk operations via conversation
"What namespaces have the most failures today?" Analytics and insights on demand

Why MCP matters:

The only dead letter management platform with MCP support Built for DevOps teams who live in their terminal
Faster MTTR Stay in your terminal - no context switching to browsers or separate tools
Secure by Design OAuth-based authentication - no API keys to paste into config files or risk exposing

Claude Code terminal interface showing MCP integration with DeadLetterOps, demonstrating natural language query to fetch and analyze dead letter messages

Manage dead letters directly from Claude Code with natural language queries

You're Already Juggling Too Many Tools

Between the Azure Portal's Service Bus Explorer, the desktop Service Bus Explorer app, and custom PowerShell scripts, managing dead letters is still a mess of manual clicking, context switching, and zero visibility.

DeadLetterOps unifies everything into one platform. No more tool switching, no more custom scripts to maintain, no more lost context when incidents happen.