k8s-cost
Optimize Kubernetes costs through resource right-sizing, unused resource detection, and cluster efficiency analysis. Use for cost optimization, resource analysis, and capacity planning.
Works with
--- name: k8s-cost description: Optimize Kubernetes costs through resource right-sizing, unused resource detection, and cluster efficiency analysis. Use for cost optimization, resource analysis, and capacity planning. license: Apache-2.0 --- # Kubernetes Cost Optimization Cost analysis and optimization using kubectl-mcp-server's cost tools. ## When to Apply Use this skill when: - User mentions: "cost", "savings", "optimize", "expensive", "budget" - Operations: cost analysis, right-sizing, cleanup unused resources - Keywords: "how much", "reduce", "efficiency", "waste", "overprovisioned" ## Priority Rules | 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 | ## Quick Reference | 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)` | ## Quick Cost Analysis ### Get Cost Summary ```python get_namespace_cost(namespace) get_cluster_cost() ``` ### Find Unused Resources ```python find_unused_resources(namespace) find_orphaned_pvcs(namespace) ``` ### Resource Right-Sizing ```python get_resource_recommendations(namespace) get_pod_metrics(name, namespace) ``` ## Cost Optimization Workflow ### 1. Identify Overprovisioned Resources ```python get_resource_recommendations(namespace="production") get_pod_metrics(name, namespace) get_resource_usage(namespace) ``` ### 2. Find Idle Resources ```python find_orphaned_pvcs(namespace) find_unused_resources(namespace) ``` ### 3. Analyze Node Utilization ```python get_nodes() get_node_metrics() ``` ## Right-Sizing Guidelines | 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 | ## Cost by Resource Type ### Compute (Pods/Deployments) ```python get_resource_usage(namespace) get_pod_metrics(name, namespace) ``` ### Storage (PVCs) ```python get_pvc(namespace) find_orphaned_pvcs(namespace) ``` ### Network (LoadBalancers) ```python get_services(namespace) ``` ## Multi-Cluster Cost Analysis Compare costs across clusters: ```python get_cluster_cost(context="production") get_cluster_cost(context="staging") get_cluster_cost(context="development") ``` ## Cost Reduction Actions ### Immediate Wins 1. **Delete unused PVCs**: `find_orphaned_pvcs()` then delete 2. **Right-size pods**: Apply `get_resource_recommendations()` 3. **Scale down dev/staging**: Off-hours scaling ### Medium-term Optimizations 1. **Use Spot/Preemptible nodes**: For fault-tolerant workloads 2. **Implement HPA**: Auto-scale based on demand 3. **Use KEDA**: Scale to zero for event-driven workloads ### Long-term Strategy 1. **Reserved instances**: For stable production workloads 2. **Multi-tenant clusters**: Consolidate small clusters 3. **Right-size node pools**: Match workload requirements ## Automated Analysis Script For comprehensive cost analysis, see [scripts/find-overprovisioned.py](scripts/find-overprovisioned.py). ## KEDA for Cost Savings Scale to zero with KEDA: ```python keda_scaledobjects_list_tool(namespace) keda_scaledobject_get_tool(name, namespace) ``` KEDA reduces costs by: - Scaling pods to 0 when idle - Event-driven scaling (queue depth, etc.) - Cron-based scaling for predictable patterns ## Related Skills - [k8s-autoscaling](../k8s-autoscaling/SKILL.md) - HPA, VPA, KEDA - [k8s-troubleshoot](../k8s-troubleshoot/SKILL.md) - Resource debugging
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