ML@PSU Outage Map

Our outage detection system continuously monitors multiple data sources to identify disruptions in ML@PSU services. We collect user reports, track ML@PSU's official status pages, and run automated API checks to verify service availability. Additionally, we integrate data from third-party monitoring tools and use AI-powered anomaly detection to analyze traffic patterns and error reports, identifying outages even before they are officially acknowledged. All this data is aggregated into our real-time heatmap, visually highlighting affected regions— with darker red areas indicating more severe disruptions.