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OpenCost

Open Source

About OpenCost

OpenCost provides cost allocation and cloud resource monitoring. It calculates real-time cost allocation broken down by Kubernetes concepts to the container level. It performs dynamic asset pricing through integrations with cloud billing APIs. It allocates costs for in-cluster resources such as CPU, GPU, memory, load balancers and persistent volumes. It is distributed as free and open source software. It is an incubating project of the Cloud Native Computing Foundation.

Used for

Monitoring costs outside the Kubernetes cluster from cloud provider resources like object storage and databases
Exporting pricing data to Prometheus
Allocating costs for in-cluster resources like CPU, GPU, memory, load balancers and persistent volumes
Performing showback and chargeback reporting
Pricing on-prem Kubernetes clusters using custom pricing

From OpenCost's own website, read 2026-10-23. How we build listings.

How to evaluate Cloud Cost Management

This is how the CIOPages Research Team evaluates this category. It is not an assessment of OpenCost. It comes from our Cloud Cost Management & FinOps buyer guide.

25%

Cost Visibility & Allocation Accuracy

Multi-cloud aggregation on a common (ideally FOCUS) schema; Kubernetes pod/namespace/cluster allocation; treatment of shared and untagged cost; virtual/retroactive tagging that does not require re-tagging infrastructure; AI/GPU spend attribution

25%

Rate & Commitment Optimization

Reserved Instance, Savings Plan, and committed-use modeling and recommendations; coverage/utilization tracking; whether the tool only advises or also purchases and continuously rebalances commitments; risk controls on automated buying

20%

Usage Optimization & Automation

Rightsizing on real utilization (not averages); idle-resource detection and scheduled or automated shutdown of non-production; spot/preemptible orchestration; Kubernetes node and pod rightsizing; what executes automatically versus what only recommends

15%

Budgeting, Forecasting & Anomalies

Budget tracking with variance; trustworthy forecasting against committed and on-demand mix; anomaly detection that alerts before spend runs away; what-if modeling for migrations and commitment changes; unit-economics metrics

10%

Accountability & Workflow Integration

Showback/chargeback finance will defend; cost surfaced where engineers work (Slack, Jira, CI/CD, pull requests); policy and governance guardrails; whether recommendations create trackable tickets rather than dead-end reports

Platform, Pricing & Ecosystem Fit

API and FOCUS-export quality; SSO/RBAC and tenant isolation; whether the pricing unit (percentage of managed spend vs. flat) aligns with your growth; ownership stability after the sector’s consolidation; depth of professional services

Other Cloud Cost Management Vendors

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