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Budgets & Forecasting

Keep AWS and Azure spend predictable before the invoice lands.

CloudVectra brings budgets, actual spend, forecasted cost, and threshold alerts into one view so finance and engineering teams can spot overruns early and keep ownership clear.

Daily and monthly budgets Actual vs forecast Team and tag scopes Proactive alerts

Budget monitor

Active cloud budgets

Search by name...
All providers
Status
Name Budget Used Budget vs forecast

Prod AWS Accounts

Monthly - account

$185,000

$142,840

77% used

Forecast $176,420

GPU Training

Weekly - project tag

$42,000

$45,780

$3,780 over

Forecast $61,240

AI Inference APIs

Daily - service

$9,500

$8,940

watch

Forecast $11,620

Expanded view

GPU Training budget

Over budget

Budget

$42.0K

Actual

$45.8K

Forecast

$61.2K

Budget limit

Alert summary

GPU Training is projected to exceed the weekly budget by $19,240 if usage continues.

Key Capabilities

What You Get With Budgets & Forecasting

Budget, track, and forecast cloud spend with a single view across AWS and Azure, scoped the way your teams and projects actually work.

Multi-Cloud Budgets

Track and manage AWS and Azure budgets in one place. FinOps gets the full picture, while owners see only their allocated spend.

Proactive Alerts

Stay ahead of budget overruns with timely alerts in email, Slack, or Microsoft Teams when spending nears or crosses thresholds.

Intelligent Forecasting

Predict future spend and compare actual costs against forecast paths to identify overspending early.

Flexible Scopes

Match budgets to ownership by account, subscription, service, resource group, project, environment, or team tag.

Advanced Visual Insights

Compare budget, actual, and forecast signals so teams can understand spending pressure without digging through raw reports.

Key Outcomes

Reduce spend surprises with unified visibility, alerts, and forecast-driven planning.

01

One pane for all budgets

See all budgets and spend across AWS and Azure in one unified dashboard.

02

Actionable Alerts

Teams are notified before costs exceed budget thresholds, enabling proactive control.

03

Smarter planning

ML-based predictions help teams plan ahead and reduce surprises in cloud spend.

04

Simplified Cost Tracking

Reduce manual effort for engineering and finance teams with centralized budget and spend tracking.

Case Studies

Real customer scenarios

Practical examples of how teams use CloudVectra to move from operational complexity to clearer decisions and measurable action.

Scenario

B2B SaaS company Budget Overspend

Problem

Monthly costs for EC2 and S3 were exceeding project budgets due to unmonitored resource usage.

CloudVectra

Set multi-cloud budgets by project tags and enabled forecasting with proactive Slack notifications.

Impact

Teams caught potential overruns early and stayed within budget.

Scenario

Azure Subscription Tracking

Problem

Finance struggled to track spending across multiple Azure subscriptions and resource groups for month-end reporting.

CloudVectra

Implemented scope-based budgets per subscription and resource group with daily forecast comparisons.

Impact

Simplified reporting, improved cost visibility, and reduced manual tracking effort.

Scenario

Engineering Forecast Accuracy

Problem

Engineering teams couldn’t predict future spend for high-usage environments, leading to last-minute budget adjustments.

CloudVectra

Deployed forecasting and automated alerts for budget thresholds.

Impact

Improved forecast accuracy and enabled more proactive planning.

Get started

Want to Take Control of Your Cloud Spend?

Unify AWS and Azure, compare actual vs forecast, and get alerts before overspend.