UrbanTransit Engine
The Mission.
Overhauling the real-time scheduling and routing core of urban transit networks.
The Challenge
The existing system was hitting scaling limits and becoming prohibitively slow during peak office commute hours.
Our Solution
Leveraged Kubernetes and serverless functions to create an elastic database model that scales horizontally based on real-time train and commuter demand.
Hard Results.
45% reduction in cloud infrastructure management overhead
Real-time passenger update latency reduced by 200ms
Zero-downtime deployment for weekly transit schedule updates
Technology Stack
Scale to Support Millions of Concurrent Sessions with Zero Latency
Rapid Sprint Deployment in 8-12 Weeks
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