Cost Intelligence
Bring complete financial accountability to your engineering teams with unified multi-cloud FinOps visibility, automated rightsizing, and intelligent forecasting.
Product Workflow
A seamless, automated execution flow built for the enterprise.
Key Capabilities
MacroCloud Cost Intelligence aggregates billing details across providers, attributing costs dynamically and identifying optimization playbooks in real-time.
Recommended Industries
Who This Is For
- FinOps Practitioners
- CFOs & Finance Leaders
- Cloud Engineering Leads
- Unified Billing Ingestion: Ingest CUR files and EA commitments into a standardized data model.
- Kubernetes Cost Allocation: Attribute cluster compute to specific namespaces and pods.
- Sizing Optimization: Continuous VM, DB, and storage profiling with rightsizing code generators.
Business Outcomes
Compute Savings
Our customers save an average of 30% on compute by right-sizing resources, deleting unused storage, and automating committed-use discount coverage.
Forecasting Accuracy
Build reliable corporate forecasts using historical trends and seasonal engineering usage data analyzed by machine learning models.
Budget Guardrails
Integrate cost limits directly into deployment pipelines. Block commits that would exceed team budgets before infrastructure is built.
Dynamic Attribution
Allocate 100% of multi-cloud spend to active business units and cost centers dynamically based on metadata tags.
Core Use Cases
Container Cost Splitting
Accurately charge back shared Kubernetes cluster costs (EKS/AKS) to corresponding product teams based on actual memory and CPU core utilization.
Orphaned Disk Disposal
Automatically detect, snapshot, and delete unattached storage volumes (EBS/Managed Disks) that are costing thousands in waste monthly.
Commitment Arbitrage
Analyze your cloud commitments (Savings Plans, RIs) and purchase options continuously to maximize coverage and minimize on-demand pricing.