Case Study: Optimizing Cloud Infrastructure for a Global Automotive Connectivity Leader
Client Overview
- Client - Tier-1 Automotive Connectivity Provider
- Industry - Automotive
- Region - Europe, Japan, and North America
- Engagement Scope - Cloud Architecture Design | DevOps Automation Infrastructure Optimization | Cost Efficiency
- A globally recognized automotive technology provider, delivering real-time connected vehicle services, including navigation, telemetry, and POI (Point of Interest) data, across multiple geographies. The client needed to modernize its cloud infrastructure to keep pace with evolving service demands and improve operational efficiency.
Business Challenge
The client’s AWS environment lacked critical capabilities such as infrastructure automation, security controls, and backup reliability. These gaps led to operational inefficiencies, increased costs, and compliance challenges. Key business objectives included:
- Enhancing infrastructure scalability and availability
- Reducing manual effort and deployment time
- Achieving cost optimization and better governance
Codincity’s Solution
Codincity deployed AWS Control Tower as the foundation for centralized governance, automation, and security across the client’s AWS landscape.
Cloud Infrastructure Modernization
- Migrated critical POI and navigation workloads to a high-availability AWS setup, designed for performance and resiliency
- Redesigned network architecture to enhance security, scalability, and inter-service connectivity
- Enabled version-controlled, auditable infrastructure changes using Infrastructure-as-Code (IaC)
DevOps Integration & Automation
- Built fully automated CI/CD pipelines for provisioning Over-The-Air (OTA) infrastructure, eliminating manual intervention and ensuring consistent deployments
Cost Optimization Initiatives
- Replaced proprietary web servers with open-source equivalents, delivering licensing cost savings
- Deployed Thanos Compactor to optimize Prometheus storage and enhance query performance for observability data
- Implemented AWS Instance Scheduler to automate EC2/RDS start-stop processes, lowering idle-time costs
Business Outcomes
- 20% reduction in monthly AWS expenditure through infrastructure right-sizing and open-source adoption
- Streamlined deployment lifecycle, reducing deployment times and operational errors via automated pipelines
- Improved observability, enabling faster response to system alerts and higher uptime assurance
Results
Codincity’s cloud transformation and DevOps automation enabled the client to build a scalable, secure, and cost-efficient infrastructure foundation. This empowered faster innovation cycles, improved service reliability, and positioned the client for future-ready automotive connectivity growth.
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