Automotive Giant’s Cloud Journey: Migrating 150+ apps while Saving 30% in Costs and Achieving 2X Faster Development
Industry & Segment
Automotive & Manufacturing
Objective
To accelerate the automotive giant’s multi‑cloud adoption by enabling large‑scale application migration with strong governance, optimized costs, and faster development cycles, while ensuring security, scalability, and business continuity.
Platform
Teqk
Client Overview
A prominent player in the automotive industry embarked on a multi-cloud adoption journey to stay ahead in the dynamic market. However, this initiative faced critical challenges due to diverse team strategies, skill gaps, governance issues, compliance concerns, scalability, and application consistency. QKTech streamlined the cloud adoption process through its BootLabs platform and empowered the client to achieve several milestones, including the successful launch of the new variant of the vehicle, rapid migration of applications, cost optimization, and improved innovation capabilities.
Business Challenges
The automobile giant needed a unified and expedited cloud adoption strategy. With multiple teams employing disparate cloud strategies, it faced obstacles related to skill gaps, governance, compliance, scalability, and application consistency. Migrating 150+ applications, including legacy systems and diverse technologies, within an accelerated timeframe with minimum risk and cost proved to be a significant hurdle.
QKTech’s Approach
QKTech adopted a platform‑led, automation‑first approach to streamline the automotive giant’s multi‑cloud adoption journey. The focus was on unifying fragmented cloud practices across teams, addressing governance and compliance gaps, and enabling faster, low‑risk migration of a large and diverse application landscape. By embedding automation and DevSecOps principles into the cloud operating model, QKTech ensured scalable, secure, and consistent cloud adoption across AWS and GCP while accelerating innovation.
Our Strategy: PaaS‑Driven Cloud Migration and Governance
We addressed these challenges by developing the PaaS platform that automated provisioning, compliance, and governance on the cloud. It facilitated faster landing zone creation and application onboarding through a user-friendly self-service control panel. The PaaS was built with a focus on performance, scalability, resilience, cost reduction, and security, ensuring a seamless and efficient migration process.
Value Delivered
20×
Faster cloud adoption. Enabled rapid cloud adoption through a PaaS‑led approach with automated provisioning, standardized landing zones, and self‑service application onboarding across AWS and GCP.
100,000
Bookings in just 30 minutes. Built a resilient cloud platform capable of handling peak demand during a major vehicle launch.
150+
Applications migrated at scale. Successfully migrated more than 150 applications, including legacy and diverse technology stacks, within a year, ensuring consistency and minimal risk.
Zero
Rollbacks during cloud migration. Delivered a seamless migration with zero rollbacks, ensuring uninterrupted operations and high reliability throughout the transition.
Business Impact
Significant Cost Optimization
Achieved 30% reduction in cloud and operational costs through automated governance and optimized resource usage.
Faster Time‑to‑Market
Reduced application development time by 50%, enabling 2× faster go‑to‑market for new features and vehicle launches.
Improved Business Agility and Innovation
Enabled the organization to innovate 50% faster, supporting rapid experimentation and product evolution.
Operational Stability at Scale
Ensured seamless cloud migration with zero rollbacks, eliminating disruption to ongoing business operations.
Revenue‑Critical Event Readiness
Supported high‑traffic business events, including the successful launch of a new vehicle variant, without performance degradation.
At QKTech, cloud migration and modernization sits under AI for Reliability, one of the six pillars of our Reliability OS for Enterprises, which helps enterprises ship AI agents and modern platforms without the risk.
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