The full success story — architecture details and measurable outcomes.
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# Automotive Customer Story — 55% cost savings **Industry:** Automotive **Cloud:** Multi-Cloud **Outcome:** 55% cost savings ## Summary BMW's APAC dealer tracking and delivery platform re-architected onto Amazon EKS in five months against an industry baseline of 14 to 18 months, with the operational run-rate cut 55% and releases compressed from months to days. ## The Challenge BMW's APAC dealer tracking and delivery application sits on the critical path of every dealer interaction — vehicle tracking, dispatch, and delivery confirmation across the regional network. Downtime there does not read as inconvenience; it reads as missed sales and eroded dealer trust.The platform ran on a single region-bound infrastructure footprint — three provisioned hosts, each carrying its own operating model. It was expensive to operate, slow to scale against regional traffic peaks, and carbon-heavy against a group with published sustainability commitments.The brief went past cost. Standardize the runtime layer, shrink hardware sprawl, and cut the platform's carbon footprint — without rewriting the application, and without disrupting a single dealer day. Work of this shape carries an industry baseline of 14 to 18 months and a ~45% failure rate. BMW set a five-month target. ## The Solution Assessment and orchestration ran as one continuous workflow rather than two phases, so the containerization plan came out of measured behaviour instead of a design workshop.CHAI DART ran a Tri-Vector Assessment — runtime behaviour, source code, and workload signals scanned together — and produced a full dependency map plus a containerization plan keyed to real usage. No discovery sprint: the team began knowing exactly what would move and how.CHAI Flow then containerized the application onto Amazon EKS, built the delivery pipeline, and ran every deploy, update, and rollback through cutover. Hundreds of hand-offs ran as orchestrated, self-correcting agent work with a human in control, and every release was verified in the pipeline before it reached a dealer. Apache CouchDB carried through with no data-layer rewrite.Three region-bound hosts consolidated onto one shared, container-dense EKS cluster under a single operating model — portable to Azure Kubernetes Service rather than pinned to one provider. ## The Outcome Delivered in five months against a 14 to 18 month industry baseline — inside one-third of the time work of this shape usually takes, on a path where the conventional approach fails about 45% of the time.Operational run-rate fell 55% across the full APAC scope. That saving is structural rather than negotiated: container density and right-sized allocation on shared EKS nodes replaced a model that dedicated a provisioned host to each workload.Time-to-market improved 60%, with release cycles compressed from months to days, and peak uptime held at 99.9999% through cutover and beyond it. Zero dealer downtime — and manual intervention in build, release, and rollback fell to roughly none once Flow was live.Also delivered: 24/7 operations support, AWS SLA-bound monitoring, and an automated, repeatable modernization template encoded in CHAI for the rest of BMW's APAC portfolio. The next application moves in weeks; the one after, in days. ## Stack - AWS - Amazon EKS - Azure Kubernetes Service - Kubernetes - Docker - Apache CouchDB - Elastic Load Balancing - CI/CD - CHAI DART - CHAI Flow ## Contact Book a demo: /contact/ Email: hello@cloudhedge.io