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KubeLedger
France
What it is
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, while comparisons between resource usage and requests over time can help identify over-provisioning and plan capacity. Built-in dashboards display 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. Integrations include a Prometheus exporter and an official Grafana dashboard. The site says KubeLedger retains a year of usage analytics and has 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, has no authentication at the tool layer, and is exposed as a ClusterIP service in v1. Internal use is free; the source code is available but cannot be sold as a managed service.
For and against
For
- Tracks CPU, memory, and GPU use by namespace.
- Includes node overhead in cost accounting.
- Exports charts and datasets as PNG, CSV, or JSON.
- Integrates with Prometheus and Grafana.
- Retains a year of usage analytics, according to the site.
Against
- Requires read-only Kubernetes API access, including the Metrics API.
- Optional MCP server is disabled by default.
- MCP tool access has no authentication layer.
- Cannot be sold as a managed service.
The verdict
KubeLedger provides namespace-level usage accounting alongside historical dashboards and export options. Review the required cluster access and MCP server limitations before enabling that optional integration.
Who it suits
KubeLedger suits teams seeking namespace-level Kubernetes usage accounting, cost allocation, and capacity planning. It is designed for self-hosted Kubernetes or OpenShift deployments.
Plans and prices
KubeLedger (self-hosted)
Internal use is free · Source code available · Cannot be sold as a managed service
Read 4 Oct 2026 · blog.kubeledger.io
On the record
- Access requirements
- KubeLedger requires read-only access to Kubernetes API endpoints including the Metrics API.kubeledger.io · read 4 Oct 2026
- AI integration
- An optional MCP server exposes ten read-only tools for MCP-aware assistants including Claude, Gemini CLI, Cursor, Windsurf, and Cline.kubeledger.io · read 4 Oct 2026
- Cost accounting
- It accounts for non-allocatable resources and node overhead to support chargeback and showback.kubeledger.io · read 4 Oct 2026
- Dashboards
- Built-in dashboards show hourly CPU and memory trends for seven days, daily accounting for 14 days, and monthly accounting for 12 months.kubeledger.io · read 4 Oct 2026
- Deployment
- The maker documents installation on Kubernetes and OpenShift using Kustomize or Helm.kubeledger.io · read 4 Oct 2026
- Exports
- Charts and datasets can be exported as PNG, CSV, or JSON.kubeledger.io · read 4 Oct 2026
- Integrations
- KubeLedger has a Prometheus exporter and an official Grafana dashboard.kubeledger.io · read 4 Oct 2026
- Maker and origin
- RealOps Labs maintains KubeLedger; the project was originally created and architected by Rodrigue Chakode.kubeledger.io · read 4 Oct 2026
- 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.kubeledger.io · read 4 Oct 2026
- Purpose
- KubeLedger tracks Kubernetes CPU, memory, and GPU usage by namespace for usage accounting and cost allocation.kubeledger.io · read 4 Oct 2026
- Retention
- The site says KubeLedger retains a full year of usage analytics and has a fixed footprint under 100 MB.kubeledger.io · read 4 Oct 2026
- Right-sizing
- It compares resource usage with requests over time to help identify over-provisioning and plan capacity.kubeledger.io · read 4 Oct 2026
