Developed a multi-cloud analytics platform that provides real-time visibility into resource usage and operational costs across AWS, Azure, and GCP.
CloudRadar – Multi-Cloud Cost Analytics & Optimization Platform (SK Telecom)
MarketSouth Korea
IndustryFinancial Services
Duration24 months
Team size18 members
Overview
The challenges
Data aggregation: Consolidating raw, fragmented data from three major cloud providers (AWS, Azure, GCP) into a unified, actionable view.
Cost management: Identifying cost spikes and service breakdowns in real-time to prevent unexpected budget blowouts.
The solutions
Developed a Java-based multi-cloud data pipeline to collect, normalize, and process usage data from AWS, Azure, and GCP.
Built real-time dashboards using Vue.js and amCharts to visualize cloud spending, resource consumption, and service trends.
Implemented predictive analytics for service-level monitoring, enabling teams to optimize cloud costs and detect issues earlier.
Tech stack
Java 11Spring BatchAWS SDKDockerVue.Js
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