Home Solutions For FinOps Teams
Solution

For FinOps Teams

Transform cloud spend from a blind spot into a strategic advantage. MacroCloud empowers FinOps practitioners with deep cost attribution, automated rightsizing, and exact predictive forecasting.

100%
Cost Attribution
30%
Reduction in Wasted Spend
100%
Tagging Compliance

Product Workflow

A seamless, automated execution flow built for the enterprise.

Key Capabilities

FinOps is a cultural practice, but it requires powerful tooling. MacroCloud aligns finance, business, and engineering teams with a single source of truth for cloud costs, enabling data-driven optimization decisions.

Recommended Industries
RetailSaaSFinancial ServicesManufacturing
Who This Is For
  • FinOps Practitioners
  • CFOs & Finance Teams
  • Cloud Economists
  • Engineering Managers
  • Unified Billing: Ingest and normalize AWS CUR, Azure EA/MCA, and GCP Billing data into one dashboard.
  • Unit Economics: Map cloud costs directly to business metrics (e.g., Cost per Transaction, Cost per Customer).
  • Commitment Management: AI-driven recommendations for purchasing and modifying Reserved Instances and Savings Plans.
  • Automated Waste Identification: Instantly locate unattached volumes, idle load balancers, and zombie instances.
  • Tagging Governance: Enforce strict resource tagging policies to ensure 100% cost allocation.

Business Outcomes

Accurate Chargeback

Stop using spreadsheets to guess who spent what. MacroCloud provides exact, automated chargeback reports tailored to your specific organizational hierarchy and cost centers.

Continuous Optimization

Cloud optimization is not a one-time project. Our AI engine continuously analyzes utilization metrics and suggests rightsizing opportunities to engineering teams in real-time.

Budget Enforcement

Prevent billing shocks. Set granular budgets per project or team. When forecasted spend exceeds the threshold, MacroCloud instantly alerts stakeholders and can even prevent further resource provisioning.

Predictive Forecasting

Using advanced machine learning, MacroCloud analyzes historical spending patterns and seasonality to provide finance teams with highly accurate future budget forecasts.

Core Use Cases

Kubernetes Cost Allocation

Break down massive, opaque EKS or AKS cluster costs. MacroCloud attributes the underlying EC2/VM costs directly to individual namespaces, deployments, and pods based on exact CPU/Memory utilization.

Automated Rightsizing

Identify instances that are chronically running at 10% CPU utilization. MacroCloud provides the exact API command or Terraform snippet needed to safely downgrade the instance to a smaller family.

Tag Remediation

Automatically scan the entire multi-cloud environment for untagged resources. MacroCloud can retroactively apply correct tags based on the resource's location, creator, or naming convention.

Frequently Asked Questions

How long does it take to ingest billing data?
Depending on the size of your cloud environment, MacroCloud typically processes historical billing files (e.g., AWS Cost and Usage Reports) and surfaces actionable insights within 24 to 48 hours.
Can we factor in custom enterprise discounts (EDP)?
Yes. The platform fully supports custom pricing agreements, enterprise discount programs, and customized amortized cost calculations.
How do we get engineers to actually take action?
MacroCloud gamifies FinOps. We provide localized dashboards for engineering teams showing their "Efficiency Score," and we can push optimization recommendations directly to their Jira or Slack channels.