Problem

A leading virtual desktop provider faced challenges in managing and optimizing cloud costs for their clients.
Complex cloud infrastructure and fluctuating usage patterns made it difficult to track spending accurately.
Time-consuming manual reporting hindered timely decision-making.
Lack of visibility into cloud costs created friction with clients.

Solution

Developed an intelligent cloud cost optimization solution featuring:

• Centralized Cost Dashboard: Consolidated view of cloud spending across multiple platforms (e.g., Azure, Citrix, VMWare Horizon, AWS, GCP).
• AI-powered Analytics: Machine learning algorithms to analyze usage patterns, identify cost optimization opportunities, and forecast future spending.
• Automated Reporting: Generation of tailored reports for clients with actionable cost-saving recommendations.

Results

• Achieved a substantial 25% reduction in cloud costs for the provider's clients.
• Drastically reduced report generation time, from weeks to seconds.
• Enhanced client relationships through increased transparency and proactive cost management.
• Transformed cloud cost management from a challenge into a competitive advantage.

Technology Stack

• Data Collection: Integration with cloud provider APIs (Azure Monitor, Azure Cost Management, AWS Cost Explorer, etc.)
• Data Analytics: Machine learning libraries (e.g., scikit-learn, TensorFlow) and time-series analysis algorithms like LSTM, ARIMA.
• Dashboard: Web-based visualization tools (e.g., Tableau, Power BI, Grafana).
• Backend: Python, Java, or React.js for data processing and report generation.
• Database: Flexible storage for historical cost data.

Software Development

• Methodology: Iterative development with focus on refining machine learning models for accurate forecasting.
• Focus: Intuitive dashboard design for both technical and non-technical users.
• Customization: Flexible report generation to suit diverse client needs.

Before Metrics

Difficulty identifying and addressing sources of cloud cost overruns.
Time-consuming and error-prone manual reporting processes. Limited transparency into cloud spending for clients.

After Metrics

25% decrease in cloud costs. Significant reduction in time spent on report generation.
Increased client satisfaction due to proactive cost management and transparency.