Challenges of Cost Allocation

As cloud environments scale, cost allocation breaks down. These challenges prevent teams from understanding ownership, controlling spend, and making confident decisions.

### Inconsistent or 
Missing Tags

Tagging is rarely complete or enforced across teams and clouds. Missing or incorrect tags make cost reports unreliable and allocation impossible to scale.

### Shared 
Cost Allocation

Costs for networking, security, logging, and monitoring are shared across teams and environments. Without a shared cost allocation system, these costs remain unowned.

### No Single 
Source of Truth

Cost data is spread across providers and tools, leading to conflicting numbers and a lack of confidence in reports.

### Disconnected 
Billing and Usage

Billing data alone does not show how resources are actually used. Without usage and telemetry data, true usage-based allocation is not possible.

Cloudchipr Turns Allocation Chaos into Clear Ownership

Cloudchipr replaces manual allocation and tagging with a flexible, rule-based cost allocation based on real usage data.

Allocate Costs Without Tagging

Define Dimensions such as Environment, Team, or Project and allocate costs across AWS, Azure, GCP, and more using precise, rule-based filters.

Allocate Shared Costs

Distribute shared costs like networking, security, large databases and monitoring fairly across teams or environments using even splits, manual allocation, or weighted distribution based on usage or business logic.

Telemetry Based Cost Allocation

Use telemetry data to allocate cloud costs based on real business activity. Upload metrics like active users or transactions to accurately distribute shared costs.

Analyze Costs with Full Billing Visibility

Use Billing Explorer to group, compare, and analyze costs by Dimension across all cloud providers, giving teams a consistent view of spend and ownership.

Add budgets, alerts and subscriptions

Create dimension-based budgets and anomaly alerts that make cost ownership clear and keep teams accountable through automated notifications and reports.

Why Teams Trust Cloudchipr

Teams using Cloudchipr to manage cloud and AI costs see measurable results.

Customers save

$180k/mo

On average

Engineering teams save

200h/mo

On average

Over

$200m

Saved in total so far

Explore Related Use Cases

Enterprise-grade security

Cloudchipr meets enterprise-grade security compliance requirements to ensure the confidentiality, integrity, and availability of your data.

Cloudchipr saved us 30% on our multi-cloud costs. We run several automation workflows that continuously scan our dev and sandbox accounts, cleaning up idle resources and helping us prevent future waste.

Edgar from ServiceTitan
Head of Infrastructure

Cloudchipr's automation workflows saved us thousands of engineering hours on cost optimization and reduced our cloud expenses by seven figures on AWS, GCP, and Azure.

Catherine from D2iQ
VP of Engineering

Cloudchipr found legacy resources that were costing us a significant amount of money every day. Now, we use it as a background service to ensure we only pay for what we actually use across all clouds.

Davit from SuperAnnotate
Co-Founder & CTO

Cloudchipr has been a game-changer for us. Their platform helped us cut cloud costs by 60%, while their DevOps team seamlessly migrated our workload to the cloud and ensured 99.99% uptime.

Tigran from CodeSignal
CEO

Cloudchipr helped us cut our cloud costs by 40%. We set up automated workflows that continuously scanned our environment and cleaned up orphaned resources every day, saving us both time and money.

Diana from Digital.ai
Head of FinOps Engineering

Take full control of your Cloud and AI costs

Connect your accounts in minutes and start saving with Cloudchipr. No credit card required.