■ Project Overview
A Data-Driven Platform for Visualizing and Continuously Optimizing Infrastructure Costs
7 members × 6 months
Project Manager (PM) / Business Analyst (BA) / Backend Engineers / Frontend Engineers / Data Engineers / Quality Control (QC)
Business Analysis / System Design / Development / Testing / Deployment / Operations
■ Technology Stack
React / TypeScript / Chart.js
.NET Core / Python (Data Processing)
PostgreSQL / Redis
REST APIs / Batch & Scheduled Jobs
Docker / AWS (EC2 / S3 / RDS)
Microservices architecture
Three-layer data pipeline (Input → Processing → Aggregation)
Usage-based cost allocation engine (by Domain / IP / Service)
Multi-tenant support (Company / Department / Project)
Role-Based Access Control (RBAC) (Admin / Finance / Manager)
Real-time dashboards and reporting platform
Dev / Staging / Production
■ Project Outcomes
Established a comprehensive cost management platform supporting multiple infrastructure services.
Integrated multiple data sources, including manual inputs, API integrations, and system synchronization.
Stably processed over 100,000 cost records per day.
Cost visibility by Domain, IP, Service, and Project.
Time-series cost analysis through interactive dashboards.
Automated usage-based cost allocation, enabling accurate financial tracking.
Reduced manual reporting efforts by 70%.
Implemented automated alerts for cost overruns.
Maintained high data accuracy through daily data synchronization.
Optimized infrastructure costs by 15–30% through usage analysis.
Enabled faster scaling decisions with data-driven insights.
Supported SaaS business expansion through a multi-tenant architecture.
Received highly positive evaluations from clients.
Significantly contributed to cost reduction initiatives.
The platform continues to be actively used.
