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Modernization and Optimization of Legacy Automotive Application with Scalable Tech Stack
  1. case
  2. Modernization and Optimization of Legacy Automotive Application with Scalable Tech Stack

Modernization and Optimization of Legacy Automotive Application with Scalable Tech Stack

99x.io
Automotive

Identifying Challenges in Legacy Automotive Software Infrastructure

A leading automotive technology company faces the need to modernize an essential legacy application integral to their vehicle and mobility ecosystem. The current system suffers from performance limitations, outdated documentation hindering onboarding, and lacks a robust testing framework. The client requires nearshore support to seamlessly integrate with their internal teams, align with existing methodologies, and enable technological flexibility to support future innovation.

About the Client

A mid to large-sized automotive technology provider focused on vehicle and mobility solutions, seeking to modernize existing legacy systems to improve performance, maintainability, and scalability.

Strategic Goals for Automotive Software Modernization

  • Migrate legacy automotive application to a modern, scalable, and maintainable technology stack to enhance flexibility and future readiness.
  • Refactor existing code to improve performance, reduce technical debt, and facilitate easier updates and feature additions.
  • Develop comprehensive and up-to-date documentation to support onboarding, team alignment, and long-term maintenance.
  • Implement automated testing frameworks to streamline quality assurance, improve reliability, and reduce manual testing efforts.
  • Establish automated CI/CD pipelines to enable continuous integration and deployment, reducing downtime and accelerating feature delivery.
  • Ensure architecture supports scalability, resilience, and adaptability for future mobility technology advancements.
  • Facilitate seamless collaboration between nearshore and in-house development teams through agile workflows and communication channels.

Core Functional and Technical System Specifications

  • Migration of existing codebase to a scalable backend platform with improved performance.
  • Refactoring of code to enhance maintainability and reduce complexity.
  • Development of detailed documentation covering system architecture, API specifications, and operational procedures.
  • Implementation of automated testing frameworks such as unit, integration, and end-to-end testing tools.
  • Establishment of CI/CD pipelines for automated build, test, and deployment processes.
  • Containerization of application components using Docker for environment consistency.
  • Orchestration of containerized services with Kubernetes for scalability and resilience.
  • Development of a responsive, dynamic frontend interface using modern frameworks.
  • Data management using reliable relational database systems, e.g., PostgreSQL.

Recommended Technology Stack for Automotive Modernization

Backend: Java 17, Spring Boot, Lombok
Documentation: Structured frameworks such as Arc42
Messaging & Data Streaming: Kafka
Containerization & Orchestration: Docker, Kubernetes
Frontend: React
Database: PostgreSQL
Testing Tools: JUnit 5, Mockito, Cypress, Jest

Essential External System Integrations

  • Real-time data streaming platform for vehicle and mobility data
  • Continuous integration and deployment services
  • Monitoring and logging systems for operational oversight

Critical Non-Functional System Attributes

  • Scalability: Support increased data volume and user load as the system expands
  • Performance: Ensure minimal latency in data processing and user interactions
  • Reliability: Achieve high uptime with failover and redundancy mechanisms
  • Security: Implement robust security protocols to protect sensitive data and system access
  • Maintainability: Facilitate easy updates and troubleshooting through comprehensive documentation and modular architecture

Projected Business Impact of Modernized Automotive Application

The modernization initiative is expected to significantly improve development efficiency by reducing technical debt and enabling faster feature releases. Enhanced documentation will reduce onboarding time, boosting team productivity. The scalable and reliable architecture will support future advancements in vehicle and mobility technologies, ensuring the application remains adaptable and competitive. Automated testing and streamlined deployment processes will result in higher quality releases with minimal downtime, supporting continuous innovation and operational excellence.

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