Klustercost vs Skuber+

Klustercost gives Kubernetes users cost visibility by workload, monitoring pods and assigning prices to nodes. Its Go-based observers use Kubernetes informers and Prometheus to track pods, nodes and namespaces in real time. Pod and node data is stored in PostgreSQL every 10 minutes, and nodes are enriched with hourly virtual-machine costs from Azure retail pricing APIs.

Users can ask questions in plain English and receive natural-language answers with structured JSON; the site describes these AI queries as read-only. Access options include WhatsApp, Teams, Slack, Power BI, an HTTP API and MCP protocol. A Helm chart deploys the monitor, pricing service, database and optional AI layer. The project is open source under GPL-3.0 and its plan is free. Setup requires a running Kubernetes cluster, Helm 3.x, reachable Prometheus, Metrics Server and a StorageClass. Azure cost enrichment is supported; AWS and GCP support are planned. Natural-language queries through the MCP assistant require an OpenAI API key.

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.