Qcanary

A monitoring tool for BullMQ job queues that detects failures, stalls, and anomalies without requiring Redis credentials. It solves the problem of production queue failures going unnoticed by providing real-time dashboards, alerts, and historical data. The product targets developers and operations teams at companies running BullMQ in production, from startups to enterprises. It is positioned as a zero-trust solution, using a lightweight agent that runs inside the worker process and streams only metadata over HTTPS, unlike competitors that require full Redis access.

Key features

• Anomaly detection with per-queue baselines
• Alert rules for failure rate, stalls, depth, duration
• Silence detection via agent heartbeat
• 365-day job history
• Auto-resolving incidents
• Slack, PagerDuty, Opsgenie, webhook, email alerts
• Fleet benchmarks for p95 comparison
• Monday digest email summary
• Zero-trust agent, no Redis credentials
• Open-source MIT-licensed agent