Status:
Status:
Status:
Workflow: DLQ Bot Investigation
Run ID: 18019669094
Duration: 11 minutes 27 seconds
Timeline: 2025-09-25T20:20:26 → 2025-09-25T20:31:53
This investigation represents a complete end-to-end DLQ bot workflow execution, showing how the system coordinates multiple repositories, generates orchestrator templates, initializes Claude Code sessions, and executes complex distributed systems troubleshooting.
Status:
🏃 Workflow Overview
Status:
🏃 Workflow Overview
At Intercom, we have hundreds (nearly a thousand) of SQS dead letter queues (DLQs) with various paging priority levels. The challenge we were trying to solve was filtering and verifying which of these queues actually need to be paging our on-call engineers, particularly for lower priority issues.
As the dataset gets bigger, it becomes very difficult to maintain the right signal-to-noise ratio, but this has a real negative impact on those engineers when they're woken up in the middle of the night for something that just isn't really that important. The manual review process was becoming unsustainable - engineers would need to gather data from multiple sources (Terraform infrastructure, Honeycomb observability datasets, production metrics), analyze each queue's health and business impact, make decisions about appropriate paging tiers, and then implement approved changes across infrastructure.
This is exactly the kind of
The remote Honeycomb MCP server at https://mcp.honeycomb.io/mcp
was working correctly for several days but has suddenly stopped functioning. All data query operations now return "Invalid or missing environment" errors, despite the server successfully authenticating and returning workspace context. The workspace context claims "MCP tools do not function in Classic environments," but these same tools were working fine until recently.
- Working Period: MCP server functioned correctly for multiple days
- Used Successfully: DLQ alarm investigations, production data queries, worker analysis
A Deep Archaeological Study of Intercom's Temporal Engineering
When El Presidente wants to share specific prompting approaches or guidelines with others, I should create shareable gists containing the prompt content.
- Configuration sections: Portions of this CLAUDE.md file that others might find useful (like the Session Journaling guidelines)
- Ephemeral prompts: Prompting techniques or frameworks we develop during a session that could benefit other teams
- Workflow instructions: Step-by-step processes we've refined for specific tasks
- Best practices: Guidelines we've discovered for working with Claude effectively