Skill

aks-cost-optimization

Name: aks-cost-optimization
Author: Azure (Microsoft)

optimize Azure Kubernetes Service cluster costs

Published by Azure (Microsoft) Updated Aug 23

Covers Performance Azure Cost Optimization Kubernetes

Description

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).

SKILL.md

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

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