REFERENCE PROJECT

Real-Time Data Platform

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WHO OUR TEAM HAS WORKED WITH

CLIENT

One of the worlds leading sports car manufacturer.

PROJECT

We redeveloped a real-time streaming data processing engine to support mission-critical and high-priority use cases across R&D, production, quality, and finance.

The system can ingest, process, and extract features in real time, all while being fault-tolerant and ensuring 99.999% uptime.

The migration from the legacy system to the new one was completed seamlessly with zero downtime.

TECHNOLOGIES USED IN THIS PROJECT

RESULTS

55% Less Cost

for cloud infrastructure

The architecture optimization of the Kafka and Databricks processing engine led to a 55% reduction in cloud costs by enhancing resource use, while performance and reliability were preserved through strategic workload management and optimized data processing techniques.

70% Reduced

maintenance activities

The number of required components was significantly reduced, leading to fewer potential points of failure, enhanced system observability, and improved fault tolerance.

$3M Unlocked

in annual business value

The enhanced performance of the platform, combined with the addition an API interface, supported the development of new applications, unlocking additional business value and functionality across the R&D department.

GET IN TOUCH

750 N San Vicente Blvd Ste 800

Los Angeles, CA 90069

+1 310-985-7409

Fabrizio@FPtech.ai

Get in touch