Cloud Infrastructure Verification
KloudID
Audit cloud infrastructure billing to identify billing errors, unused resources,
and recover credits from AWS, Google Cloud, Azure, and other providers.
Cloud Bills Are Complex By Design
Reserved instance coverage gaps lead to on-demand pricing for committed workloads
Idle resources continue accruing cost long after operational use has stopped
Data transfer charges across regions and services are often difficult to validate
Savings plan utilization rarely reaches expected efficiency levels
Support tiers, platform fees, and billing adjustments are easy to miss in large invoices
How KloudID Optimizes Your Cloud Spend
KloudID compares cloud usage against billing data to identify inefficiencies, validate line-item charges, and surface missed discounts, credits, and preventable waste. It gives finance and infrastructure teams a clearer view of where spend is justified, where it is not, andwhere recovery is possible.
WHAT WE DETECT
Unused reserved instances
Idle resources and orphaned storage
Data transfer overcharges
Savings plan underutilization
Service level agreement breaches
Billing calculation errors
Unattached elastic IPs and volumes
Suboptimal instance sizing

Recovery Process

Post-Bill Credits

We find invalid cloud charges you've already paid for and recover it.
Violations Include:
Incorrect or misapplied usage charges
Overbilling across compute, storage, and data transfer
Billing discrepancies vs contract or pricing
Missed credits, discounts, or refunds
Outcome
Money returned as refunds or account credit.

Pre-Bill Cost Corrections

We stop invalid or wasteful spend before it hits your invoice.
Violations Include:
Usage against pricing models
Abnormal or unnecessary resource usage
Misconfigured services driving excess cost
Billing before invoice finalization
Outcome
Invalid spend is never billed
Cost Avoidance (clean, pre-invoice impact)

Spend Utilization

We ensure your cloud spend is aligned with actual usage and efficiency.
Includes:
Identification of underutilized or idle resources.
Detection of inefficiencies across services.
Optimization of resource allocation and usage pattern.
Outcome
Spend becomes efficient, not just accurate
Example ROI
Average Cost Reduction
5-10%
Reduction in cloud infrastructure costs through optimization and billing error recovery
Supported Integrations
AWS
Google Cloud
Microsoft Azure
Snowflake
Databricks
MongoDB Atlas
Cloudflare
DigitalOcean
Vercel
Heroku

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