14 disparate automotive brands causing data fragmentation across continents
The Push for Progress
Stellantis acquired an existing platform as the foundation for Mobilisights, their data business unit tasked with unifying APIs across 14 global automotive brands. The inherited platform architecture could not support the data demands of 15 million connected vehicles across North America and Europe.
Legacy infrastructure limitations prevented real-time data processing capabilities, creating bottlenecks that would impact service delivery to enterprise clients requiring immediate insights from continental-scale vehicle fleets.
Zero-downtime migration strategy preserving business continuity
Shaping Solutions from Technology
Platform modernization required seamless integration of 14 disparate automotive brand APIs while maintaining continuous service availability. The solution involved comprehensive infrastructure upgrades, performance optimization, and large-scale data migration processes executed without service interruption.
Critical technical challenges included real-time data pipeline architecture for processing vehicle telemetry, implementing scalable storage solutions, and ensuring data consistency across multi-continental operations. The platform now supports near real-time analytics for mobility insights across diverse automotive ecosystems.
15M connected vehicles delivering actionable insights across two continents
Delivering Lasting Results
Platform transformation enabled Mobilisights to process 30TB of monthly data influx with zero service downtime during migration. The unified platform now connects enterprise clients with real-time insights from 15 million vehicles across 14 automotive brands, establishing Mobilisights as a leader in mobility data services.
Infrastructure improvements delivered enhanced system reliability and consistent service delivery, positioning Mobilisights for market expansion and integration of additional automotive brands as the connected vehicle ecosystem evolves.
Strategic insights from modernizing enterprise mobility platforms
Lessons Learned
- 01
Vehicle Data Collection Patterns Require Burst-Resilient Pipeline Architecture
Connected vehicles accumulate telemetry data during periods without network coverage (underground parking, remote areas), then transmit large data volumes when connectivity resumes. These commonly overlooked transmission patterns can overwhelm standard streaming architectures. Designing specialized buffering and rate-limiting systems becomes essential for maintaining consistent data processing performance.
- 02
Enterprise Data Integration Demands Client-Specific Reliability Controls
Enterprise clients require customized data delivery patterns based on their existing workflows and system capabilities. Data consistency becomes critical as integration errors or unexpected volume spikes can impact client operations. Implementing robust back pressure management and deduplication controls is essential for maintaining stable client relationships.
- 03
Zero-Downtime Migration Success Depends on Parallel System Architecture
Enterprise platforms handling continuous data streams require parallel infrastructure during migration phases. Traditional blue-green deployment strategies must be adapted for real-time data systems where service interruption impacts millions of connected devices simultaneously.
