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SPECIFICTION
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KubeLedger

kubeledger.io

Free plan WebAPISelf-hosted
Visit kubeledger.io
Spec score 7.7 #9 of 25 in Kubernetes Cost Management Software

What it is

KubeLedger tracks Kubernetes CPU, memory, and GPU usage by namespace for usage accounting and cost allocation. Its accounting includes node overhead and resources that cannot be allocated, while comparisons between usage and requests over time can 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 retains a full year of analytics with a fixed footprint under 100 MB. Installation guidance covers Kubernetes and OpenShift through Kustomize or Helm. KubeLedger requires read-only access to Kubernetes API endpoints, including the Metrics API. Internal use is free at free; source code is available, but the product cannot be sold as a managed service. An optional MCP server offers ten read-only tools, but is disabled by default and lacks authentication at the tool layer.

Spec sheet

Purpose
KubeLedger tracks Kubernetes CPU, memory, and GPU usage by namespace for usage accounting and cost allocation.Read 4 Oct 2026 · kubeledger.io
Deployment
The maker documents installation on Kubernetes and OpenShift using Kustomize or Helm.Read 4 Oct 2026 · kubeledger.io
Integrations
KubeLedger has a Prometheus exporter and an official Grafana dashboard.Read 4 Oct 2026 · kubeledger.io
Headquarters
FranceRead 28 Sep 2026 · kubeledger.io
Access requirements
KubeLedger requires read-only access to Kubernetes API endpoints including the Metrics API.Read 4 Oct 2026 · kubeledger.io
AI integration
An optional MCP server exposes ten read-only tools for MCP-aware assistants including Claude, Gemini CLI, Cursor, Windsurf, and Cline.Read 4 Oct 2026 · kubeledger.io
Cost accounting
It accounts for non-allocatable resources and node overhead to support chargeback and showback.Read 4 Oct 2026 · kubeledger.io
Dashboards
Built-in dashboards show hourly CPU and memory trends for seven days, daily accounting for 14 days, and monthly accounting for 12 months.Read 4 Oct 2026 · kubeledger.io
Exports
Charts and datasets can be exported as PNG, CSV, or JSON.Read 4 Oct 2026 · kubeledger.io
Maker and origin
RealOps Labs maintains KubeLedger; the project was originally created and architected by Rodrigue Chakode.Read 4 Oct 2026 · kubeledger.io
MCP access limits
The MCP server is disabled by default, has no authentication at the tool layer, and is exposed as a ClusterIP service in v1.Read 4 Oct 2026 · kubeledger.io
Retention
The site says KubeLedger retains a full year of usage analytics and has a fixed footprint under 100 MB.Read 4 Oct 2026 · kubeledger.io
Right-sizing
It compares resource usage with requests over time to help identify over-provisioning and plan capacity.Read 4 Oct 2026 · kubeledger.io

Plans and prices

KubeLedger (self-hosted) Free Internal use is free · Source code available · Cannot be sold as a managed service Read 4 Oct 2026 · blog.kubeledger.io

Every KubeLedger plan and price →

Strong points and limits

Strong points

  • Tracks CPU, memory, and GPU by namespace
  • Includes node overhead and non-allocatable resources
  • Exports charts and datasets as PNG, CSV, or JSON
  • Installation guidance covers Kubernetes and OpenShift
  • Internal use is free

Limits

  • Requires read-only Kubernetes API access, including Metrics API
  • MCP server has no tool-layer authentication
  • Cannot be sold as a managed service

Who it suits

KubeLedger is for teams that need namespace-level Kubernetes usage accounting, cost allocation, or capacity planning. It suits deployments on Kubernetes or OpenShift that can provide read-only access to the Kubernetes API and Metrics API.

Verdict

KubeLedger describes its accounting scope, dashboard periods, exports, and deployment requirements. The MCP server's default-off status and lack of tool-layer authentication are important deployment considerations.

Where Specifiction places it

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