FinOps-Cost Manager Studio is an AI-based
Incorporating FinOps AI-driven best practices such as automatic resource shutdown, rightsizing, real-time anomaly detection, advanced predictive analytics, and alert management, the
platform delivers quantifiable financial benefits visible to all stakeholders. It analyzes
Beyond financial benefits, FinOps-Cost Manager Studio fosters financial accountability and provides a unified view of
FinOps-Cost Manager Studio helps to prevent unexpected cloud costs by providing detailed insights, reports, and AI-powered automated recommendations.
It enables you to navigate the FinOps journey in three phases:
Inform: Gain visibility, allocate, benchmark, and forecast for intelligent decisions.
Optimize: Fine-tune resources, leverage provider offerings, and automate to maximize efficiency.
Operate: Evaluate alignment with business goals, cultivate a FinOps culture, and sustain success.
Conquer Cloud Cost Optimization with FinOps!
% Cost of untagged resources
Total spend by period by key organizational identifiers
% of spend that is reservable
% of spend that is budgeted
Scorecard performance overtime
% in optimization
Recommendations over time (by team)
Utilization % by resource type
Estimated idel savings (by turning things off)
Estimated optimized spend (by rightsizing)
Estimated RI/SP savings
% of spot (or other desired service) use vs. expected %
Financial targets proposed by service owners and approved by leadership
Cloud Capacity Rightsizing Recommendation Delivery & Action
Organize performance metrics and analytics based on services, products and applications
Linking cloud resources, subscriptions, applications, products and services to how the company is organized
Predicting future spending based on a combination of historical spending and an evaluation of future plans
Over or Under Budget Alerting, Cost Anomaly Detection, Savings Opportunities
Provides a complete, unified, and real-time view of spend and usage across all clouds
To monitor resource usage and easily visualize and analyze cloud spending
Maximizes efficiency by matching cloud workloads to the underlying infrastructure
Enables autoscaling
and creates elasticity
Notifies of overspending, underbudgeting, and cost anomalies
Auto-generation of recommendations based on AI to avoid costly surprises
Optimizes cloud costs through predictive usage analysis and resource management for efficient scaling and cost-effectiveness
AI-powered FinOps provides data-backed predictions for future cloud usage, aiding in accurate budgeting.
FinOps, powered by AI, provides a unified view of cloud expenses, ensuring IT and finance teams are aligned in their objectives.