Remember debugging Camunda incidents at 3 AM, jumping between logs, database queries, and Cockpit tabs trying to figure out what went wrong?
V2.0 just made that a lot easier.
We’ve added AI-powered incident intelligence that doesn’t just show you what’s broken - it tells you why, shows you patterns, and recommends what to do about it.
See It In Action
Youtube Full Demo: Camunda Health Monitor v2.0 Open Source - AI-Powered Monitoring with Incident Intelligence
What’s New
Incident Intelligence Center - Click any incident, see root cause, historical patterns, affected instances, and specific remediation steps. All in one view.
Weekly Load Patterns - AI-powered heatmaps showing exactly when your cluster is busy. Finally know the right time to schedule that deployment.
ML Analytics - Capacity forecasting, stuck activity detection, bottleneck ROI calculations. Know what will break before it breaks.
Process Categorization - Automatic grouping by speed. Perfect for SLAs and architectural planning.
and many more…
Try It Now
GitHub: GitHub - bibacrm/camunda-health-monitor: Lightweight monitoring dashboard for Camunda 7 clusters with real-time metrics, JVM health tracking, and database analytics. Built with Flask, Alpine.js, and Tailwind CSS.
Docker Hub: champabpmn/camunda-health-monitor - Docker Image
I’d Love Your Feedback
What would make this indispensable for your team?
- Different metrics?
- Integration with a specific monitoring stack?
- Something else?
Drop a comment - every suggestion helps shape the roadmap.