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Qcanary — BullMQ Monitoring Dashboard
Watch your BullMQ queues, not your Redis credentials
Qcanary is a monitoring dashboard for BullMQ queues. Instead of asking for your Redis connection string, a lightweight agent runs inside your own worker process and listens to BullMQ's built-in events locally, streaming only job metadata (status, duration, errors). Your Redis credentials never leave your infrastructure. Get real-time visibility into failed and stalled jobs, instant alerts via Slack, email, or webhook, and incident history. Free tier available, no card required.
Hey Product Hunt! 👋 I'm Harsh, builder of Qcanary. The problem we kept running into: every BullMQ monitoring tool we found wanted our Redis connection string — which means handing a third party full read/write access to production data just to see if a job failed or stalled. Qcanary takes a different approach. A small agent (@qcanary/agent) runs inside your own worker process and listens to BullMQ's built-in events locally. It only streams job metadata over HTTPS — status, duration, error messages — never payloads, never database access, never your Redis credentials. What you get: real-time dashboards, alerts via Slack/email/webhook when jobs fail or stall, and incident history — without the security trade-off. Free tier is live now, no credit card required. Would genuinely love your feedback — especially if you've been burned by a monitoring tool asking for more access than it needed, or if you see a hole in how we're approaching this. Happy to answer anything about the setup, the security model, or what's coming next. 🙏
I am currently using it , and how can I describe that how much it is useful for me because my whole system based on doing active jobs and it's best thing I consider is it's security that I didn't thought much before using this tool.
love that the agent runs in your own worker instead of pulling your redis string somewhere else. that local event streaming approach is honestly a really thoughtful security-first move that most monitoring tools just skip.
love that the agent runs in-process, that's honestly the part that sold me on trying it. one thing i'd kill for though is some kind of job replay button for failed jobs, like being able to retry a specific one straight from the dashboard without having to dig through the redis cli or write a script. would make incident cleanup way less painful
About Qcanary — BullMQ Monitoring Dashboard on Product Hunt
“Watch your BullMQ queues, not your Redis credentials”
Qcanary — BullMQ Monitoring Dashboard was submitted on Product Hunt and earned 6 upvotes and 6 comments, placing #159 on the daily leaderboard. Qcanary is a monitoring dashboard for BullMQ queues. Instead of asking for your Redis connection string, a lightweight agent runs inside your own worker process and listens to BullMQ's built-in events locally, streaming only job metadata (status, duration, errors). Your Redis credentials never leave your infrastructure. Get real-time visibility into failed and stalled jobs, instant alerts via Slack, email, or webhook, and incident history. Free tier available, no card required.
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Hey Product Hunt! 👋
I'm Harsh, builder of Qcanary.
The problem we kept running into: every BullMQ monitoring tool we found wanted our Redis connection string — which means handing a third party full read/write access to production data just to see if a job failed or stalled.
Qcanary takes a different approach. A small agent (@qcanary/agent) runs inside your own worker process and listens to BullMQ's built-in events locally. It only streams job metadata over HTTPS — status, duration, error messages — never payloads, never database access, never your Redis credentials.
What you get: real-time dashboards, alerts via Slack/email/webhook when jobs fail or stall, and incident history — without the security trade-off.
Free tier is live now, no credit card required. Would genuinely love your feedback — especially if you've been burned by a monitoring tool asking for more access than it needed, or if you see a hole in how we're approaching this.
Happy to answer anything about the setup, the security model, or what's coming next. 🙏