Optimize Kubernetes costs through resource right-sizing, unused resource detection, and cluster efficiency analysis. Use for cost optimization, resource analysis, and capacity planning.
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Review the instructions the agent will receive before you install.
Cost analysis and optimization using kubectl-mcp-server's cost tools.
Use this skill when:
| Priority | Rule | Impact | Tools |
|---|---|---|---|
| 1 | Find and delete unused PVCs | CRITICAL | find_orphaned_pvcs |
| 2 | Right-size overprovisioned pods | HIGH | get_resource_recommendations |
| 3 | Identify idle LoadBalancers | HIGH | get_services |
| 4 | Scale down non-prod off-hours | MEDIUM | scale_deployment |
| 5 | Consolidate small namespaces | LOW | Analysis |
| Task | Tool | Example |
|---|---|---|
| Namespace cost | get_namespace_cost | get_namespace_cost(namespace) |
| Cluster cost | get_cluster_cost | get_cluster_cost() |
| Unused PVCs | find_orphaned_pvcs | find_orphaned_pvcs(namespace) |
| Right-sizing | get_resource_recommendations | get_resource_recommendations(namespace) |
get_namespace_cost(namespace)
get_cluster_cost()
find_unused_resources(namespace)
find_orphaned_pvcs(namespace)
get_resource_recommendations(namespace)
get_pod_metrics(name, namespace)
get_resource_recommendations(namespace="production")
get_pod_metrics(name, namespace)
get_resource_usage(namespace)
find_orphaned_pvcs(namespace)
find_unused_resources(namespace)
get_nodes()
get_node_metrics()
| Current State | Recommendation |
|---|---|
| CPU usage < 10% of request | Reduce request by 50% |
| CPU usage > 80% of request | Increase request by 25% |
| Memory < 50% of request | Reduce request |
| Memory near limit | Increase limit, monitor OOM |
get_resource_usage(namespace)
get_pod_metrics(name, namespace)
get_pvc(namespace)
find_orphaned_pvcs(namespace)
get_services(namespace)
Compare costs across clusters:
get_cluster_cost(context="production")
get_cluster_cost(context="staging")
get_cluster_cost(context="development")
find_orphaned_pvcs() then deleteget_resource_recommendations()For comprehensive cost analysis, see scripts/find-overprovisioned.py.
Scale to zero with KEDA:
keda_scaledobjects_list_tool(namespace)
keda_scaledobject_get_tool(name, namespace)
KEDA reduces costs by:
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