KubeLedger tracks Kubernetes CPU, memory and GPU use by namespace for usage accounting and cost allocation. Its accounting includes node overhead and resources that cannot be allocated, supporting chargeback and showback. It compares resource usage with requests over time to help identify over-provisioning and plan capacity. Built-in dashboards show hourly CPU and memory trends for seven days, daily accounting for 14 days and monthly accounting for 12 months. Charts and datasets can be exported as PNG, CSV or JSON, and integrations include a Prometheus exporter and an official Grafana dashboard. The site says KubeLedger keeps a full year of usage analytics with a fixed footprint under 100 MB. Installation is documented for Kubernetes and OpenShift using Kustomize or Helm, and the tool requires read-only access to Kubernetes API endpoints, including the Metrics API. An optional MCP server provides ten read-only tools for compatible assistants; it is disabled by default, lacks authentication at the tool layer and is exposed as a ClusterIP service in v1. Internal use is free, and the source code is available, but resale as a managed service is not allowed.
Who it is for
KubeLedger suits teams that need namespace-level Kubernetes usage accounting, cost allocation or capacity planning. It is designed for Kubernetes and OpenShift installations and requires read-only access to relevant API endpoints.
What is good
- Tracks CPU, memory and GPU by namespace
- Dashboards cover hourly, daily and monthly views
- Exports charts and datasets as PNG, CSV or JSON
- Prometheus exporter and official Grafana dashboard
What to know first
- Requires read-only access to Kubernetes API endpoints
- MCP server has no tool-layer authentication
- Cannot be sold as a managed service
Verdict
KubeLedger combines usage accounting, exports and monitoring integrations for Kubernetes environments. Teams considering its optional MCP server should note that it is disabled by default and has no authentication at the tool layer.
Get started with KubeLedger
- Open the KubeLedger website.
- Choose an installation route for Kubernetes or OpenShift.
- Use the documented Kustomize or Helm deployment method.
- Provide read-only access to Kubernetes API endpoints, including the Metrics API.
- If needed, enable the optional MCP server; it is disabled by default.
What the free plan stops at
The listed self-hosted plan is 0.00 USD per free for internal use. The source code is available, but it cannot be sold as a managed service. MCP access is disabled by default and has no authentication at the tool layer.
Questions about KubeLedger
How much does KubeLedger cost?
The self-hosted plan is listed at 0.00 USD per free for internal use. The source code is available, but KubeLedger cannot be sold as a managed service.
Which platforms does it support?
The listed platforms are API, self-hosted, and web. Installation is documented for Kubernetes and OpenShift using Kustomize or Helm.
What usage does KubeLedger track?
It tracks CPU, memory, and GPU usage by namespace. Its accounting also includes node overhead and non-allocatable resources.
What integrations are available?
KubeLedger has a Prometheus exporter and an official Grafana dashboard. Its optional MCP server exposes ten read-only tools to compatible assistants.
Who maintains KubeLedger?
RealOps Labs maintains the project. Rodrigue Chakode originally created and architected it.
What does the MCP server require?
It is disabled by default, has no authentication at the tool layer, and is exposed as a ClusterIP service in v1.
KubeLedger plans and pricing
All plansCompared on Kubernetes cost management software
- Free plan
- Yes
- Allocation granularity
- namespace
- Rightsizing recommendations
- Yes
