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See total cloud cost clearly
Unify AWS, Azure, OpenAI usage, credits, and commitments into one cost picture.
Advanced Cost Insights
Understand cloud spend from account to resource.
CloudVectra unifies AWS and Azure cost data so FinOps and engineering teams can drill into spend, explain cost drivers, track credits and refunds, monitor commitments, and receive AI-generated FinOps summaries without switching consoles.
Spend drill-down Credits & refunds RI/SP visibility AI-assisted explanation
Cloud cost
Cost overview
AWS
Azure
OpenAI
MTD cost
$642K
+8.4%
Credits applied
$38K
Net impact
OpenAI usage
$18K
Models + tokens
Daily cost trend
Last 30 days
Cost drivers
Compute$284K
GPU workloads$76K
Storage$61K
AI Report ready
AI-assisted explanation
Compute and GPU costs increased this month; credits reduced net impact, but analytics workloads need review.
Key Capabilities
Everything You Need for Cloud Cost Visibility
CloudVectra helps you understand, analyze, and optimize cloud spend with granular visibility across accounts, services, and resources.
FinOps AI
AI-powered cost intelligence for FinOps
Daily FinOps reports summarize what changed in cloud spend, while AI-assisted explanations help teams understand why costs moved and what needs attention.
Daily FinOps report
Scheduled summaries of spend movement, top drivers, commitment changes, and budget signals.
AI-assisted explanation
On-demand explanations for service spikes, credit impact, regional growth, and RI/SP coverage shifts.
FinOps Daily Cloud Report
Report date March 7, 2025; cost sections are month-to-date and trend covers the last 7 days.
March cloud spending remains stable with few changes observed.
- - MTD cost at $428K, up 8.4% from last month.
- - Forecasted cost is $611K based on current usage.
- - Over budget alerts count at 3, indicating potential issues.
Watch list
Monitor 10 open anomalies and track high-risk findings closely.
High
Address 3 budget overages.
Prevent further overspending.
Medium
Consider EC2 optimization.
EC2 is the top cost driver.
Cost Snapshot
ProviderMTDForecast
AWS$284K$392K
Azure$126K$178K
7-Day Spend Signal
DateProviderCost
Cost Drill-Down
Cost overview with workload-level detail
Start with AWS and Azure spend across accounts, subscriptions, services, and regions, then drill into the resources and workloads driving cost.
AWS EC2 cost analysis
Combine EC2 compute, EBS, and data transfer context to understand the true cost of AWS instances and related workloads.
GPU cost visibility
Surface GPU-heavy spend and top accelerated compute resources so teams can quickly identify expensive AI and ML workload drivers.
Spend by Service and Workload
Unified cost lens across accounts, services, regions, and workload resources.
Unified overview
$642K
Total cloud spend
AWS EC2 detail
$118K
Compute + EBS + transfer
EC2 EBS Data
GPU cost visibility
$76K
Top AI and ML workload drivers.
Drill-down path
Account4
Service18
Resource2.1K
Net Cost Clarity
See true cost after credits and commitments
Track applied credits, refunds, discounts, Reserved Instances, Savings Plans, and Azure Reservations alongside usage so finance teams can reconcile gross spend against actual net cost.
Credits & refunds
Separate raw usage growth from credits, refunds, discounts, and billing adjustments.
Reservations & Savings Plans
Track coverage, utilization, and savings impact for AWS commitments and Azure Reservations.
Gross Spend to Net Cost
Usage, credits, refunds, discounts, and commitment impact in one reconciled view.
Gross usage
$642K
Raw cloud usage
Commitment impact
-$74K
RI/SP + reservations
Credits & refunds
-$38K
Applied savings and adjustments.
Estimated net cost
$530K
Gross usage minus credits, refunds, discounts, and commitment impact.
Key Outcomes
Turn cost data into clear explanations and faster decisions.
02
Explain changes faster
Use AI reports to summarize cost movement, budget alerts, anomalies, and next steps.
03
Find cost drivers quickly
Drill from spend changes to the services, workloads, GPU resources, and accounts behind them.
04
Reconcile net spend
Show credits, refunds, discounts, Reservations, and Savings Plans alongside usage.
Proof Points
Case studies that map to real cost work
Practical examples of how teams move from scattered billing data to clearer decisions, cleaner reporting, and faster investigation.
Visibility
Fragmented Spend Across Accounts
Problem
Multiple AWS and Azure accounts made it difficult to see which services and resources were driving monthly spend.
CloudVectra
CloudVectra unified spend across accounts and enabled drill-down from cloud totals to services, workloads, and resources.
Impact
Teams identified top cost drivers faster and improved monthly budget control.
Reconciliation
Net Cost Reconciliation
Problem
Finance teams could see usage growth but struggled to explain the final bill after credits, refunds, discounts, and commitment impact.
CloudVectra
CloudVectra showed gross usage, applied credits, refunds, discounts, and commitment impact in one net-cost view.
Impact
Finance teams reconciled cloud spend faster and explained monthly changes with confidence.
AI Report
AI-Generated FinOps Reporting
Problem
FinOps teams spent time manually summarizing cost movement, anomalies, budget alerts, and recommended follow-up.
CloudVectra
CloudVectra generated daily FinOps reports with cost explanations, watch lists, and recommended actions.
Impact
Stakeholders received clearer updates without waiting for manual analysis.
Get started
Take Control of Your Cloud Costs
Gain full visibility into AWS and Azure spend, track credits, refunds, reservations, and Savings Plans, explain cost drivers, and make smarter decisions from a single unified platform.