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Aks Cost Optimization

Reduce Azure Kubernetes Service (AKS) spending: pod rightsizing, VPA-driven recommendations, cluster-autoscaler tuning, spot node pools, namespace-level cost visibility, and cost-anomaly detection. WHEN: rightsize pods, VPA recommendations, idle nodes, scale-down, autoscaler profile, spot nodes, cheaper compute, cost add-on, namespace cost breakdown, spending anomaly, 'my AKS bill is too high', 'is my app consuming what it requests', resource requests vs actual usage, over-provisioned workloads, spot vs on-demand, per-namespace or per-team cost allocation, 'who's spending what and why'. DO NOT USE FOR: GPU / inference cost and idle GPU pools (use aks-gpu-inference); autoscaler that is failing to scale up during an incident (use aks-troubleshooting); choosing SKUs at cluster-creation time (use aks-cluster-setup).

Azure 5a18749 7 files · 21.7 KB Updated
DevOps & Infra

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AKS Cost Optimization — Router

Route by goal to the correct reference file:

Goal File
Identify over-provisioned pods, reduce CPU/memory requests azure-aks-rightsizing.md
Enable VPA for data-driven resource recommendations azure-aks-vpa.md
Tune cluster autoscaler to scale down idle nodes azure-aks-autoscaler.md
Add spot node pools for batch/interruptible workloads azure-aks-spot.md
Enable namespace-level cost visibility add-on azure-aks-cost-addon.md
Detect cost anomalies and spending spikes azure-aks-anomalies.md

azure/aks-skills/tree/main/skills/aks-cost-optimization commit 5a18749e80

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npx skillmds@latest add azure/aks-cost-optimization