Kubernetes Cost Dashboard: The Metrics Every Platform Team Should Track
Blog post from Cast AI
A Kubernetes cost dashboard provides insights into the cost drivers within a cluster, offering a level of detail that cloud billing lacks, by identifying expenses at the namespace and workload levels. This dashboard combines metrics such as cost per namespace, workload costs, CPU and memory utilization ratios, idle node costs, CPU and memory waste, workload efficiency scores, and GPU utilization to give teams actionable insights into resource management and efficiency. Tools like Prometheus, Grafana, and OpenCost are essential for building these dashboards, enabling visibility into detailed metrics that facilitate cost optimization and resource allocation. The Cast AI 2026 State of Kubernetes Optimization Report highlights significant overprovisioning, with average CPU utilization at 8% across thousands of clusters, indicating a widespread opportunity for cost savings. By using these dashboards, teams can convert visibility into actionable steps, like rightsizing workloads, consolidating idle nodes, and reducing GPU waste, ultimately leading to more efficient operations and reduced costs.
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