
OpenCost
OpenCost is a free, vendor-neutral open-source project for measuring and allocating Kubernetes and cloud infrastructure costs.
What OpenCost is
OpenCost is a free, vendor-neutral open-source project for measuring and allocating Kubernetes and cloud infrastructure costs. It breaks down Kubernetes spending to concepts and containers in real time for showback, chargeback, and reporting. Allocation covers CPU, GPU, memory, load balancers, and persistent volumes, and it can monitor cloud resources outside Kubernetes. The included web UI displays Kubernetes allocations and related cloud costs; its API offers real-time and historical cost reporting based on on-demand list prices and provider cost and usage reports. Listed cloud integrations include Alibaba, AWS, Google Cloud Platform, Microsoft Azure, Open Telekom Cloud, Oracle Cloud Infrastructure, OVHcloud, Scaleway, and STACKIT. Metrics and visualization integrations include Prometheus, Cortex, Thanos, Victoria Metrics, Grafana, and Grafana Cloud. OpenCost requires a Kubernetes cluster and Prometheus, with Helm recommended for full functionality. Cloud cost data appears when providers supply it, usually several hours to 24 hours later. On-demand pricing is not reconciled against billed actual costs, and cloud costs are not supported for on-premises clusters. The project is a CNCF incubating project.
Good
- Real-time allocation supports showback and chargeback
- Covers CPU, GPU, memory, and storage costs
- Includes a web UI and reporting API
- Integrates with multiple cloud providers
- Free and open source
Watch out
- Requires Kubernetes and Prometheus
- Helm is recommended for full functionality
- Cloud cost data can arrive up to 24 hours later
- On-premises cluster cloud costs are unsupported
Who it suits
OpenCost suits teams that need cost allocation and reporting for Kubernetes and supported cloud resources. It is intended for deployments with both Kubernetes and Prometheus.
Verdict
OpenCost provides cost visibility across Kubernetes resources and supported cloud providers, but requires an existing Kubernetes and Prometheus setup. Its delayed billing data and lack of on-premises cloud cost support may affect reporting needs.
Plans and prices
From OpenCost's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| OpenCost | Free | Open source (Apache 2.0) · Requires Kubernetes and Prometheus |
The facts
Each one read from OpenCost's own pages, with the date it was checked.
What it does
- AI integration
- The MCP server provides AI agents access to allocation, asset, and cloud cost data and is enabled by default in deployments.checked 8 Oct 2026
- API
- The API provides real-time and historical Kubernetes cost reporting using on-demand list prices and cloud provider cost and usage reports.checked 8 Oct 2026
- Cloud providers
- The integrations page lists Azure, AWS, GCP, Oracle Cloud Infrastructure, OVHcloud, Alibaba, and Scaleway.checked 8 Oct 2026
- Deployment
- OpenCost requires a Kubernetes cluster and Prometheus; the project recommends Helm for full functionality.checked 8 Oct 2026
- Governance
- OpenCost is a Cloud Native Computing Foundation incubating project.checked 8 Oct 2026
- Metrics and visualization
- Listed integrations include Prometheus, Cortex, Thanos, Victoria Metrics, Grafana, and Grafana Cloud.checked 8 Oct 2026
- Notable limit
- Cloud costs are not currently supported for on-premises clusters, though costs from other cloud providers may be configured.checked 8 Oct 2026
- Purpose
- OpenCost is a vendor-neutral open source project for measuring and allocating Kubernetes and cloud infrastructure costs.checked 8 Oct 2026
- Resource coverage
- It allocates costs for CPU, GPU, memory, load balancers, and persistent volumes, and can monitor cloud resources outside Kubernetes.checked 8 Oct 2026
- Security configuration
- For AWS cloud costs, OpenCost supports IAM roles for service accounts, which use ambient credentials so no secrets are stored in the configuration file.checked 8 Oct 2026
- Support
- The project directs users with questions to CNCF Slack’s #opencost channel or its support email.checked 8 Oct 2026
- Web UI
- The OpenCost UI is included in the default installation and visualizes Kubernetes allocations and related cloud costs.checked 8 Oct 2026
Money
- Cloud cost delay
- Cloud costs appear when they become available in provider billing data, usually after several hours to 24 hours, and on-demand pricing is not currently reconciled against billed actual costs.checked 8 Oct 2026
- Cost allocation
- It provides real-time cost allocation down to Kubernetes concepts and containers for showback, chargeback, and reporting.checked 8 Oct 2026
The full review of OpenCost
OpenCost is a free, vendor-neutral cost allocation system for Kubernetes and connected cloud infrastructure. It suits platform, finance, and engineering teams that already operate Kubernetes with Prometheus and need container-level showback or chargeback. Its broad coverage and open-source licensing are compelling, but delayed provider billing data makes it a poor substitute for final cloud-account reconciliation.
Overview
OpenCost attributes infrastructure spending to Kubernetes concepts and individual containers, giving teams a practical basis for internal reporting, showback, and chargeback. It covers CPU, GPU, memory, load balancers, and persistent volumes, while also monitoring cloud resources outside Kubernetes. That combination is useful when shared cluster spending must be assigned to applications or teams rather than viewed only as one provider bill.
The project is vendor-neutral and a Cloud Native Computing Foundation incubating project. Kubernetes cost reporting is real time, but cloud costs depend on provider billing data arriving, usually several hours to 24 hours later. OpenCost also uses on-demand list prices without reconciling them to billed actual costs, so it is strongest for operational visibility and allocation, not closing the books.
Key features
- Granular allocation: CPU, GPU, memory, load balancer, and persistent-volume costs can be assigned at Kubernetes and container level. This supports detailed ownership reporting, although billing-data delays still affect cloud-backed figures.
- API and web interface: The API supplies real-time and historical Kubernetes cost reports using on-demand prices and cloud provider cost and usage reports. The UI arrives with the default installation and visualizes Kubernetes allocations alongside related cloud costs, giving teams both automation and an immediately usable view.
- Broad provider coverage: Integrations cover Alibaba, Amazon Web Services, Google Cloud Platform, Microsoft Azure, Open Telekom Cloud, Oracle Cloud Infrastructure, OVHcloud, Scaleway, and STACKIT. The integrations page also lists Prometheus, Cortex, Thanos, Victoria Metrics, Grafana, and Grafana Cloud for metrics and visualization workflows.
- Operational integrations: The MCP server gives AI agents access to allocation, asset, and cloud-cost data and is enabled by default in deployments. For AWS, IAM roles for service accounts use ambient credentials, avoiding secrets in the configuration file.
- Deployment requirements: OpenCost requires a Kubernetes cluster and Prometheus; the project recommends Helm for full functionality. That is a sensible fit for established platform teams, but a substantial prerequisite for organizations without that stack.
Pricing
OpenCost — free. The plan is open source under the Apache 2.0 license and has no software charge. There is no free trial because the product itself is free. The trade-off is infrastructure and operational responsibility: you provide the Kubernetes and Prometheus environment and manage the deployment.
This pricing fits teams that can self-host and want unrestricted use of an open project rather than a metered SaaS service. It is less suitable for buyers seeking a turnkey, vendor-managed cost platform. Cloud costs are also unavailable for on-premises clusters, although costs from other cloud providers may be configured.
Platforms
OpenCost supports API, Linux, self-hosted, and web deployments. The included web UI and API make it workable for browser-based analysis and automation, while the self-hosted model keeps deployment in your Kubernetes environment. Prometheus remains a required part of that environment.
Who it's for
Choose OpenCost if your organization already runs Kubernetes and Prometheus and needs transparent allocation down to workloads or containers. It is particularly well suited to platform teams implementing showback or chargeback across multiple supported clouds, and to engineering groups that need API access for historical and real-time reporting.
Look elsewhere if you need cloud billing figures to arrive immediately, must reconcile estimates with provider invoices, or run only on-premises clusters. OpenCost's deployment requirements also make it a poor starting point for teams without Kubernetes operations experience.
Pros and cons
Pros
- Free Apache 2.0 software: There is no license bill or seat charge, making broad internal adoption practical.
- Container-level visibility: Detailed allocation across compute, memory, storage, GPUs, and load balancers supports meaningful ownership reports.
- Wide ecosystem: Multiple cloud providers, Prometheus-compatible systems, Grafana options, an API, and an included UI accommodate existing tooling.
- Credential-conscious AWS integration: IAM roles for service accounts avoid storing AWS secrets in configuration.
Cons
- Requires Kubernetes and Prometheus: Teams without that foundation face deployment work before seeing value.
- Cloud data is delayed: Provider billing information generally takes several hours to 24 hours to appear.
- Estimates are not invoice-reconciled: On-demand pricing is not currently matched to billed actual costs.
- No on-premises cloud-cost support: Cloud costs for on-premises clusters are not supported.
Alternatives
Kubernetes Cost Management Software and Cloud Cost Management Software provide broader category shortlists when OpenCost's self-hosted model is not the right fit.
- KubeAdapt is a freemium option with a free allowance covering the first 100 vCPU across an account, all features, and email support, plus a free trial.
- Atmosly Kubernetes Cost Optimization suits a small personal deployment: its free plan covers one cluster, one cloud account, one seat, one project, two environments, and ten applications, with cost recommendations view.
- PerfectScale offers a free tier up to 200 vCPU per month with unlimited clusters, nodes, and pods; its Expert tier is quote-based.
- Krossboard is another freemium self-hosted/API/web alternative.
- KubeLedger provides free self-hosting for internal use under its stated terms.
- Podledger offers a forever-free community plan for self-hosting, a single cloud, basic dashboards, and pod-level visibility.
- CloudBolt has a free CloudBolt CMP tier with core capabilities for up to 100 resources.
- Klustercost is a free, GPL-3.0 open-source alternative.
Verdict
OpenCost is the right choice for Kubernetes teams that want no-license-cost, container-level allocation across a broad cloud ecosystem and can operate the required stack themselves. Choose it for showback, chargeback, and ongoing visibility; look elsewhere when invoice-accurate, immediate cloud billing or on-premises cost coverage is central to your reporting.
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