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Emotional Virtual Experience (EVE) App on AWS

Architected and led the development of BMW’s Emotional Virtual Experience (EVE) platform on AWS — a GPU-intensive cloud solution generating photorealistic vehicle images and videos using Unreal Engine.

1. November 2022
Automated production of high-quality visual content for BMW’s digital products and partners
#Cloud #Architecture #DevOps #AWS #Data #AI #FinOps #Visualization

Technologies Used

AWS
Python
AWS CDK
GitHub Actions
Unreal Engine
EC2
Lambda
API Gateway
S3
SQS
Step Functions
CloudWatch
KUNNO
Jira
Confluence
Bitbucket

BMW Emotional Virtual Experience (EVE) Platform

Overview

At BMW Group (DCM), the Emotional Virtual Experience (EVE) platform was created to automatically generate high-quality images and videos of BMW vehicles using Unreal Engine.
The solution delivers media assets to internal BMW platforms (e.g., Digital Brochure) and external partners via APIs.
Built on a scalable AWS infrastructure, EVE enables high performance, availability, and cost efficiency for compute-intensive rendering workloads.

Role & Responsibilities

As Cloud Systems Architect and DevOps Engineer, I was responsible for designing, leading, and optimizing the architecture and operational model of the EVE platform.

  • Designed scalable AWS architectures for GPU-intensive rendering workloads
  • Defined and implemented BMW’s hybrid cloud strategy for EVE environments
  • Conducted architecture reviews ensuring scalability, quality, and compliance
  • Led Scrum workshops to improve team collaboration and delivery processes
  • Established FinOps practices to optimize GPU utilization and cloud costs
  • Coordinated stakeholders and external partners for seamless system integration
  • Monitored production systems for stability, performance, and reliability
  • Delivered the KUNNO orchestration solution for on-premises EVE deployments

Applied Methods & Tools

  • Agile Framework: SAFe / Scrum for agile team management and delivery
  • Infrastructure as Code (IaC): AWS CDK using Python templates
  • CI/CD Automation: GitHub Actions and Pipelines for automated deployments
  • Architecture Design & Governance: Continuous improvement through reviews and audits
  • DevOps & FinOps Integration: Ensuring operational and cost efficiency at scale
  • Incident & Operations Management: Proactive monitoring and alerting using AWS CloudWatch
  • Team Enablement: Workshops and coaching sessions to elevate engineering practices
  • Security & Compliance: Adhered to BMW standards and AWS best practices

Applied Technologies

  • AWS Services: Lambda, EC2, API Gateway, S3, SQS, Step Functions
  • Rendering Framework: Unreal Engine for automated high-quality content generation
  • Infrastructure as Code: AWS CDK (Python-based templates)
  • CI/CD: GitHub Repos, Actions, and Pipelines for automated deployments
  • Monitoring & Observability: AWS CloudWatch dashboards, metrics, and alerts
  • Orchestration: KUNNO platform for on-premises rendering automation
  • Collaboration Tools: Jira, Confluence, Bitbucket for project management and documentation

Impact

  • Delivered a fully automated rendering platform producing photorealistic BMW vehicle assets
  • Achieved high-performance scalability for GPU workloads on AWS
  • Reduced rendering costs through FinOps-driven optimization and GPU orchestration
  • Enabled faster time-to-market for digital content across BMW’s global ecosystem
  • Strengthened collaboration between engineering, design, and marketing teams

Summary

The BMW EVE Platform demonstrates how cloud-native architecture and DevOps automation can power creative workflows at enterprise scale.
By combining AWS scalability, GPU rendering optimization, and Unreal Engine automation, the solution transformed BMW’s content production into a cost-efficient, high-performance, and fully automated digital pipeline.

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