Real-time visibility and control over cloud spending across AWS, Azure, and GCP
Current Month
$58,400
Monthly Budget
$75,000
Burn Rate
77.9%
Spent
$24,500
Budget
$35,000
Spent
$18,200
Budget
$20,000
Spent
$15,700
Budget
$20,000
$31,850
54%
$16,212
28%
$10,338
18%
Total: $58,400
$26,630
46%
$17,520
30%
$8,612
15%
$5,638
9%
Total: $58,400
Cost allocation by department and engineering lead
| Team Member | Department | Monthly Spend | Instances | Efficiency |
|---|---|---|---|---|
| Alice Chen | Platform Engineering | $18,900 | 45 | High |
| Marcus Rodriguez | Data Engineering | $16,800 | 28 | High |
| Priya Patel | DevOps | $12,400 | 32 | Medium |
| James Wilson | Backend Services | $15,200 | 38 | Medium |
| Sofia Gomez | ML/AI Pipeline | $22,800 | 52 | High |
Built for engineering and finance teams to collaborate on cloud cost optimization
Unified dashboard showing spend across all cloud providers, services, and teams
Set budgets by department, service, or cost center with ML-powered forecasting
Allocate costs to engineering teams and track efficiency metrics per team
AI-powered recommendations for reducing costs without sacrificing performance
Native integrations with AWS, Azure, GCP, and emerging cloud platforms
Real-time alerts for budget overages, anomalies, and optimization opportunities
Join leading tech companies optimizing their cloud infrastructure spending
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