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Centralized Data-Driven SaaS Platform for Automotive Powertrain Systems
  1. case
  2. Centralized Data-Driven SaaS Platform for Automotive Powertrain Systems

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Centralized Data-Driven SaaS Platform for Automotive Powertrain Systems

acropolium
Automotive
Manufacturing
Information technology

Current Challenges in Software Audit and Security

The client struggles with fragmented offshore vendor management, inconsistent code quality across internal systems, and insufficient data security measures. Their existing microservice architecture requires comprehensive evaluation to ensure scalability and compliance with industry standards.

About the Client

Leading independent developer of powertrain systems for passenger cars, commercial vehicles, and industrial engines with 1000+ employees

Key Project Objectives

  • Establish robust data security frameworks for powertrain software systems
  • Conduct comprehensive audit of existing software quality and architecture
  • Optimize microservice scalability and maintainability
  • Implement CI/CD pipelines for efficient development workflows

Core System Capabilities

  • Automated code quality analysis tools
  • Security vulnerability detection system
  • Microservice architecture evaluation dashboard
  • CI/CD pipeline integration modules
  • Customizable audit reporting framework
  • Developer training resource portal

Technology Stack Requirements

Microsoft Azure
C#
Angular.js

System Integration Needs

  • Legacy powertrain simulation systems
  • Existing cloud infrastructure
  • Third-party development tools

Operational Requirements

  • 99.9% system uptime SLA
  • ISO 27001 compliance
  • Horizontal scalability for global teams
  • Real-time audit tracking performance

Expected Business Impact

Projected 40% improvement in security posture, 90% reduction in system bottlenecks, and significant enhancement of in-house technical capabilities through targeted training programs. The solution will enable standardized application development across all vehicle powertrain segments.

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