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Match exact AKS operation-failure signatures to documented causes and fixes. WHEN: an AKS create, scale, upgrade, node-image, or image-pull failure names VMCannotFitEphemeralOSDisk, LinkedAuthorizationFailed, NodePoolMcVersionIncompatible, 'NodeImageVersion is not accepted', SkuNotAvailable, ZonalAllocationFailed, OverconstrainedAllocationRequest, or an AKS vmssCSE/CSE nested signature: VMExtensionError_OutboundConnFail (exit 50), VMExtensionError_K8SAPIServerConnFail (exit 51), or VMExtensionEr
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Skill detayları
Versiyonv1.0.0
YazarAzure
Kategoridevops
Skill IDAzure/AKS-Skills/skills/aks-known-issues
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Aks Automatic ReadinessAssess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic. DO NOT USE FOR: creating a brand-new clustAks Cluster SetupMake the AKS-specific design decisions for a new production Azure Kubernetes Service (AKS) cluster — SKU (Automatic vs Standard), pod IP model (Azure CNI Overlay vs kubenet), API-server access, egress, identity, upgrades, node pools, and reliability — then delegate the actual provisioning to the Azure Skills deployment engine. WHEN: create AKS cluster, provision AKS environment, design AKS networking, choose AKS SKU, Day-0 AKS checklist, plan a production AKS cluster. DO NOT USE FOR: debugging aAks Cost OptimizationReduce 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,Aks Gpu InferenceDay-2 operations for GPU and model-inference workloads on Azure Kubernetes Service (AKS): diagnose GPU pods stuck Pending, missing nvidia.com/gpu, CUDA/driver mismatches, model OOM on weight load, GPU vCPU-quota failures, KAITO (AI toolchain operator) Workspaces stuck not-ready, and GPU cost / scale-to-zero / spot eviction. WHEN: GPU pod Pending 'Insufficient nvidia.com/gpu', no nvidia.com/gpu on node, CUDA driver version insufficient, model OOMKilled loading weights, GPU node pool quota exceedeAks Network CapturePacket-level network evidence for AKS: run a bounded, distributed packet capture across nodes (filtered by IP, port, or tcpdump/BPF expression), and collect Azure network resources (NSG rules, route tables, firewall, VNET peering) when you need pcap-level proof of where traffic drops. Escalation tool for when logs and read-only checks are inconclusive. WHEN: capture packets on a node, take a pcap, tcpdump on AKS, prove where a packet is dropped, verify an NSG or route is blocking traffic at the Aks TroubleshootingDebug and root-cause live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation and structured report. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS failure, ingress 502/503, connectivity timeout, network policy, SNAT exhaustion, upgrade stuck, cordon/drain failure, spot or zone disruption, expired certificate, or 'investigate my AKS cluster'. DO NOT USE FOR: packet capture (use aks-network-capture); GPU or model