KubeLedger vs Skuber+

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.

Skuber+ is a web-based SaaS platform for optimizing Kubernetes clusters through an agent installed on a customer’s cluster. It identifies over-provisioned resources, adjusts workload sizing, and uses bin-packing and autoscaling to reduce resource waste. Its dashboard reports costs by cluster, namespace, and workload, with 30-day trends and projected savings. Policies can adapt resources to traffic and development environments, including an Auto Balance policy for staging. The AI assistant analyzes CPU and memory use, suggests VPA and autoscaling settings, and answers Kubernetes questions. A single console shows multiple clusters, their status, resource use, and costs; users can revert to the pre-optimization state if performance falls short. AWS EKS and OCI OKE are supported, while Azure AKS and GCP GKE are marked coming soon. The agent supports Kubernetes version 1.33.1 or below and requires at least 600m CPU and 700 MiB memory. The Trial plan is free for 30 days and one cluster; Professional is $5 per vCPU, with no billing period specified.