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Cloud-Based Engineering Analytics Platform for Automotive Software Optimization

experionglobal.com

Automotive

Information technology

Challenges in Software Delivery and Technical Debt Management

The client faces rising technical debt, disconnected DevOps tools, limited visibility into vendor performance, and scattered data across 20K+ repositories. These issues cause delayed releases, increased remediation costs, and inefficient decision-making across 4K+ developers and 60 vendors.

About the Client

A leading automotive company focused on digital transformation and software innovation

Objectives for Enhanced Software Delivery

Reduce technical debt by 30% through real-time analytics
Accelerate release cycles by 25% via workflow optimization
Establish centralized visibility into code/application health
Enable data-driven vendor performance management
Implement AI-powered insights for engineering leadership

Core Platform Capabilities

Seamless integration with Jira, GitHub, Jenkins, and ServiceNow
Real-time data processing from 20K+ repositories
Maturity scoring and benchmarking engine
Vendor performance tracking dashboard
GenAI-powered chatbot for instant insights
Technical debt remediation cost forecasting

Technology Stack Requirements

AWS (ECS/EKS/Lambda)

Low-code platform

GenAI (Azure OpenAI)

PostgreSQL

Airbyte

Superset

System Integration Needs

Jira
GitHub
ServiceNow
GitLab
BuildFarm
Jenkins
SonarQube

Operational Requirements

Scalable architecture for 200+ events/minute
High-availability cloud deployment
Enterprise-grade security
Cost-optimized resource management
Multi-region data processing

Expected Business Impact

The platform will reduce technical debt by 30%, accelerate software releases by 25%, and cut operational costs through optimized cloud resource usage. Leadership will gain real-time visibility into engineering performance, enabling proactive decision-making and improving application stability across global teams.