Element Fleet Vehicle Telematics DataStax Production Readiness Review

Element Fleet (TSX: EFN), the largest fleet management company in North America with a global reach, provides comprehensive fleet management that provides unmatched economies of scale and insight that improves the financial and operational value of vehicle fleets worldwide.

Element Fleet chose DataStax Enterprise Cassandra, Solr Search, Spark Analytics and DSE Graph for the ingestion and storage of real-time IoT data streams such as vehicle telematics, weather and traffic data that power their vehicle telematics and fleet management analytics services.

In preparation for go-live, DataStax brought RhinoSource into Element Fleet to do a health checkup and review their DataStax Enterprise Cassandra, Solr Search and Spark Analytics uses cases, architecture, data models, configurations and cluster management operations to ensure they were prepared for the production launch of their real-time vehicle telematics and analytics application.

RhinoSource made important tuning and operational recommendations to bring Element’s DataStax Enterprise implementation in line with best practices.

RhinoSource also helped the Element team optimize data batch loading performance while maintaining cross-datacenter consistency, and provided best practices for handling batch job failures and reloads. This included recommendations for monitoring and alerting using OpsCenter to maximize cluster stability during the heavy batch write workloads.

Finally, RhinoSource provided advice and sample code for handling retry scenarios for both streaming ingests and bulk loads.