Case Study

Customer:  Automotive Company

Department:  IT Department

Services:  Data Platforms


Enabling Data-driven Product Development at Scale




The automotive company’s Data Science Lab depended on a massive on-premises data platform ingesting telemetry from both live vehicles and testrig environments, all built on virtual machines that simply couldn’t scale or be managed effectively.

With rising demand for advanced analytics in areas like e-mobility and autonomous solutions, the existing environment lacked the reliability and structure needed for enterprise use.

Manual processes and limited infrastructure slowed development, hindered data access, and created inefficiencies for engineering teams.



Approach





Grape Up consultants were embedded directly into the customer’s existing cross-functional teams, forming a unified agile unit under the SAFe (Scaled Agile Framework) model.

This close collaboration didn’t just deliver the final solution – it included pair-programming sessions where Grape Up and the client’s employees worked side-by-side to stand up the production environment, explore its inner workings, and learn best practices for day-to-day use and scaling.

The joint team focused on preparing the platform for enterprise use by establishing a secure production environment tailored to the needs of data analysts while keeping development activities separated. Alongside enhancing the platform’s functionality and expanding its capabilities, Grape Up also supported day-to-day operations and maintenance. Their involvement ensured continuous progress, stable performance, and effective knowledge transfer, helping the internal team sustain and grow the platform beyond the scope of the project.



Outcome





The new Kubernetes-based data platform has become a strategic linchpin for the company, offering easy management of internal tenants, applications, and their versions, and tighter cost control.

It now empowers teams across the organization to make faster, insight-driven decisions by providing a reliable, secure environment where data analysts can seamlessly access, explore, and leverage critical data to support product development, innovation initiatives, and long-term business planning.

Grape Up’s involvement ensured smooth execution, ongoing platform stability, and effective knowledge transfer to internal teams. The result is a scalable, future-ready solution that not only supports current business needs but also lays the foundation for continuous growth and innovation.



Technology stack: Spark, Jupyter Lab, Airflow, Kafka, Ray, Python, Druid and Databases (PostgreSQL), Kubernetes

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The controller of the data within the scope provided above is Grape Up spółka z o.o. For full information about processing of personal data please visit Privacy Policy.