Real-time monitoring dashboards and automated email alert pipelines built during my time at Harman International.
The operations team was manually monitoring 200+ enterprise servers, relying on periodic spot checks and delayed email notifications. When issues arose, the team often didn't know about them until users reported problems - sometimes hours after the incident started.
The existing monitoring setup was fragmented: different tools for different servers, inconsistent alerting rules, and no central dashboard for the team to review at a glance.
I designed and built a unified monitoring system with two core components:
Python-based dashboard aggregating health metrics from all 200+ servers. Color-coded status indicators, historical trends, and drill-down capability per server.
Intelligent email alerting with severity classification, escalation rules, and deduplication. Alerts fire within seconds of threshold breaches.
Architecture: Servers → Data Collectors → ETL Pipeline → Dashboard + Alert Engine → Email Notifications
Incident response times dropped from hours to minutes. The operations team could now see the health of the entire server fleet at a glance and receive instant alerts when issues occurred. This system became a critical part of the team's daily workflow at Harman International.