Intelligent cloud cost optimization platform with automated resource scheduling and rightsizing, achieving 55% cost reduction and $2.3M annual savings while maintaining performance and availability standards.
A rapidly growing enterprise software company was facing escalating cloud costs with poor visibility into resource utilization. Their cloud spending was growing faster than revenue, with significant waste from over-provisioned resources and inefficient usage patterns.
They needed an intelligent cost optimization solution that could automatically identify and implement cost savings while maintaining performance and reliability standards.
Developed machine learning algorithms to analyze usage patterns, predict demand, and automatically recommend optimal resource configurations.
Implemented intelligent resource scheduling system that automatically starts/stops non-production resources based on usage patterns and business hours.
Deployed automated rightsizing engine that continuously monitors performance metrics and adjusts instance sizes for optimal cost-performance ratio.
Created comprehensive cost analytics dashboard with real-time monitoring, forecasting, and automated alerts for budget thresholds.
Achieved 55% reduction in cloud costs, generating $2.3M in annual savings through automated optimization and intelligent resource management.
Eliminated manual cost optimization processes with 100% automated resource scheduling and rightsizing based on real-time analytics.
Provided complete cost transparency across all cloud accounts with predictive analytics and automated budget management.
Achieved cost optimization without compromising performance, maintaining 99.9% uptime and improving resource efficiency by 40%.