Cloud for Transportation: Fleet Telematics, Operations, and Regulatory Compliance

Transportation cloud operates at telematics scale most enterprise architects haven't seen. A fleet of 5,000 tractors with Samsara or Motive ELD telematics generates millions of data points per hour — GPS pings every 30 seconds, engine data every second under load, driver status transitions, and event data (harsh braking, collision detection, lane departure). Airlines stream flight data at similar scale per aircraft. Rail stream locomotive telemetry and PTC data. The infrastructure has to ingest and process this at 24/7 availability because dispatch and safety decisions depend on it. Meanwhile regulations apply — DOT examinations review data retention and security, TSA Security Directives apply to certain carriers, PTC data falls under FRA expectations, and cyber-insurance carriers review SOC 2 controls. Generic enterprise cloud doesn't address any of this.

Transportation cloud done right handles telematics scale and regulatory requirements together. Fleet telematics ingestion architecture — IoT Hub or equivalent for device-level connections at fleet scale, time-series databases (ADX, Timestream) for the engine and location data, stream processing for event detection, and archival tiers for the retention regulations require (HOS data retention under 49 CFR 395, PTC data retention under FRA guidance). Dispatch infrastructure with sub-second response because dispatchers make decisions in real time. SOC 2 Type II and DOT-aware controls. TSA Security Directives compliance for covered pipelines and rail. Cost engineering matched to transportation unit economics — cost per mile, cost per ASM, cost per TEU — because every dollar of overhead affects competitive position. Done with this discipline, cloud scales with the fleet.