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# Automotive Customer Story — 55% cost savings **Industry:** Automotive **Cloud:** Multi-Cloud **Outcome:** 55% cost savings ## Summary Workload-specific modernization and CI/CD for a global automotive leader. ## The Challenge A prominent European vehicle manufacturer relied on a legacy tracking and delivery application used by dealers across the APAC region. As volumes grew, the platform began to buckle under the weight of regional traffic spikes, inconsistent infrastructure footprints, and ballooning operational expenses.Leadership wanted more than a lift-and-shift. They needed a scalable, eco-friendly, and portable foundation that could streamline local applications, reduce hardware sprawl across markets, and support a long-term modernization roadmap without disrupting dealer operations.The brief was clear: optimize infrastructure, shrink the carbon footprint, and accelerate every future release without rewriting the application from scratch. ## The Solution CloudHedge architected an automated containerization program tailored to the manufacturer's APAC estate. The engagement began with deep application discovery to map dependencies, runtimes, and integration touchpoints, followed by container packaging and a phased deployment onto managed Kubernetes services.The orchestration and rollout were driven by CHAI Flow, which automated containerization, environment provisioning, and pipeline cutovers so the team could move from discovery to live deployment in a fraction of the usual time. Workloads were targeted at AWS EKS while remaining portable to Azure Kubernetes Service, giving the customer genuine hybrid-cloud optionality.By preserving existing application logic and standardizing the runtime layer, CloudHedge delivered a modernization path that was repeatable, eco-conscious, and ready to scale across the rest of the application portfolio. ## The Outcome The containerized platform reduced operational costs by 55% and compressed project delivery timelines by nearly 60%, while sustaining 99.9999% uptime for dealers across APAC. Optimized resource allocation also produced a measurable drop in carbon footprint, aligning the platform with the manufacturer's broader sustainability targets.Beyond the headline numbers, BMW walked away with a scalable, automated containerization roadmap for the rest of its application estate, turning a one-off modernization into a reusable blueprint for every region that follows. ## Stack - AWS - AWS EKS - Azure Kubernetes Service - Docker - Kubernetes - CHAI Flow ## Contact Book a demo: /contact/ Email: hello@cloudhedge.io