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azure-kubernetes

Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters. Covers Day-0 checklist, SKU selection (Automatic vs Standard), networking options (private API server, Azure CNI Overlay, egress configuration), security, and operations (autoscaling, upgrade strategy, cost analysis). WHEN: create AKS environment, provision AKS, enable AKS observability, design AKS networking, choose AKS SKU, secure AKS, optimize AKS, AKS spot nodes, AKS cluster-autoscaler, rightsize AKS pod, pod rightsizing, over-provisioned AKS pod, pod resource requests and limits, Vertical Pod Autoscaler, VPA recommendations.

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含まれるファイル(55)

  • SKILL.md11.0 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/aspnet-core.md7.3 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/django.md6.0 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/express.md6.7 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/fastapi.md5.8 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/flask.md6.2 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/go.md6.8 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/nestjs.md6.7 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/nextjs.md7.1 KB
  • azure-kubernetes-app-deploy/knowledge-packs/frameworks/spring-boot.md6.0 KB
  • azure-kubernetes-app-deploy/phases/quick-deploy.md7.8 KB
  • azure-kubernetes-app-deploy/references/base-images.md3.6 KB
  • azure-kubernetes-app-deploy/references/detection.md3.5 KB
  • azure-kubernetes-app-deploy/references/rollback.md2.0 KB
  • azure-kubernetes-app-deploy/references/safeguards.md2.9 KB
  • azure-kubernetes-app-deploy/references/workload-identity.md7.4 KB
  • azure-kubernetes-app-deploy/SKILL.md2.0 KB
  • azure-kubernetes-app-deploy/templates/dockerfiles/dotnet.Dockerfile2.6 KB
  • azure-kubernetes-app-deploy/templates/dockerfiles/dotnet.dockerignore125 B
  • azure-kubernetes-app-deploy/templates/dockerfiles/go.Dockerfile2.1 KB
  • azure-kubernetes-app-deploy/templates/dockerfiles/go.dockerignore128 B
  • azure-kubernetes-app-deploy/templates/dockerfiles/java.Dockerfile3.0 KB
  • azure-kubernetes-app-deploy/templates/dockerfiles/java.dockerignore156 B
  • azure-kubernetes-app-deploy/templates/dockerfiles/node.Dockerfile3.0 KB
  • azure-kubernetes-app-deploy/templates/dockerfiles/node.dockerignore173 B
  • azure-kubernetes-app-deploy/templates/dockerfiles/python.Dockerfile2.5 KB
  • azure-kubernetes-app-deploy/templates/dockerfiles/python.dockerignore201 B
  • azure-kubernetes-app-deploy/templates/dockerfiles/rust.Dockerfile3.2 KB
  • azure-kubernetes-app-deploy/templates/dockerfiles/rust.dockerignore87 B
  • azure-kubernetes-app-deploy/templates/github-actions/deploy.yml7.4 KB
  • azure-kubernetes-app-deploy/templates/k8s/configmap.yaml1.0 KB
  • azure-kubernetes-app-deploy/templates/k8s/deployment.yaml3.4 KB
  • azure-kubernetes-app-deploy/templates/k8s/gateway.yaml1.5 KB
  • azure-kubernetes-app-deploy/templates/k8s/hpa.yaml1.4 KB
  • azure-kubernetes-app-deploy/templates/k8s/httproute.yaml1.3 KB
  • azure-kubernetes-app-deploy/templates/k8s/ingress.yaml1.9 KB
  • azure-kubernetes-app-deploy/templates/k8s/namespace.yaml734 B
  • azure-kubernetes-app-deploy/templates/k8s/networkpolicy.yaml1.6 KB
  • azure-kubernetes-app-deploy/templates/k8s/pdb.yaml758 B
  • azure-kubernetes-app-deploy/templates/k8s/service.yaml864 B
  • azure-kubernetes-app-deploy/templates/k8s/serviceaccount.yaml1.4 KB
  • azure-kubernetes-app-deploy/templates/mermaid/architecture-diagram.md1.6 KB
  • azure-kubernetes-app-deploy/templates/mermaid/summary-dashboard.md1.7 KB
  • azure-kubernetes-automatic-readiness/references/common-fixes.md7.3 KB
  • azure-kubernetes-automatic-readiness/references/constraint-spec-v1.yaml24.3 KB
  • azure-kubernetes-automatic-readiness/references/mcp-integration.md8.4 KB
  • azure-kubernetes-automatic-readiness/references/migration-guide-summary.md6.9 KB
  • azure-kubernetes-automatic-readiness/scripts/sanitize-readiness-input.jq7.8 KB
  • azure-kubernetes-automatic-readiness/SKILL.md17.2 KB
  • references/azure-aks-autoscaler.md4.0 KB
  • references/azure-aks-rightsizing.md4.3 KB
  • references/azure-aks-spot.md4.6 KB
  • references/azure-aks-vpa.md1.4 KB
  • references/cli-reference.md1.2 KB
  • references/optional-aks-operations.md2.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Azure Kubernetes Service

AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE

This skill produces a recommended AKS cluster configuration based on user requirements, distinguishing Day-0 decisions (networking, API server — hard to change later) from Day-1 features (can enable post-creation). See CLI reference for commands.

Quick Reference

PropertyValue
Best forAKS cluster planning and Day-0 decisions
MCP Toolsmcp_azure_mcp_aks
CLIaz aks create, az aks show, kubectl get, kubectl describe
Related skillsazure-kubernetes-app-deploy (deploy an app to an existing cluster), azure-diagnostics (baseline AKS troubleshooting), azure-validate (readiness checks), azure-kubernetes-automatic-readiness (migrate existing cluster to AKS Automatic), optional aks-skills operations add-on (focused incident, exact-signature, packet-capture, and GPU Day-2 workflows)

When to Use This Skill

Activate this skill when user wants to:

  • Create a new AKS cluster
  • Plan AKS cluster configuration for production workloads
  • Design AKS networking (API server access, pod IP model, egress)
  • Set up AKS identity and secrets management
  • Configure AKS governance (Azure Policy, Deployment Safeguards)
  • Enable AKS observability (Container Insights, Managed Prometheus, Grafana)
  • Define AKS upgrade and patching strategy
  • Understand AKS Automatic vs Standard SKU differences
  • Get a Day-0 checklist for AKS cluster setup and configuration

Deploying an application to an existing cluster? This skill provisions and configures the cluster. To containerize an app and deploy it to a cluster that already exists (Dockerfile + manifests + Deployment Safeguards), use the azure-kubernetes-app-deploy sub-skill instead.

Deeper operational task? Keep Day-0 planning and basic operations in this base skill. Load optional-aks-operations.md only when a focused optional AKS operational skill could improve the current task.

Rules

  1. Start with the user's requirements for provisioning compute, networking, security, and other settings.
  2. Use the azure MCP server and select mcp_azure_mcp_aks first to discover the exact AKS-specific MCP tools surfaced by the client. Choose the smallest discovered AKS tool that fits the task, and fall back to Azure CLI (az aks) only when the needed functionality is not exposed through the AKS MCP surface.
  3. Determine if AKS Automatic or Standard SKU is more appropriate based on the user's need for control vs convenience. Default to AKS Automatic unless specific customizations are required.
  4. Document decisions and rationale for cluster configuration choices, especially for Day-0 decisions that are hard to change later (networking, API server access).

Required Inputs (Ask only what’s needed)

If the user is unsure, use safe defaults.

  • AKS environment type: dev/test or production
  • Region(s), availability zones, preferred node VM sizes
  • Expected scale (node/cluster count, workload size)
  • Networking requirements (API server access, pod IP model, ingress/egress control)
  • Security and identity requirements, including image registry
  • Upgrade and observability preferences
  • Cost constraints

Workflow

1. Cluster Type

  • AKS Automatic (default): Best for most production workloads, provides a curated experience with pre-configured best practices for security, reliability, and performance. Use unless you have specific custom requirements for networking, autoscaling, or node pool configurations not supported by Node Auto-Provisioning (NAP).
  • AKS Standard: Use if you need full control over environment configuration, which requires additional overhead to set up and manage.

2. Networking (Pod IP, Egress, Ingress, Dataplane)

Pod IP Model (Key Day-0 decision):

  • Azure CNI Overlay (recommended): pod IPs from private overlay range, not VNet-routable, scales to large environments and good for most workloads
  • Azure CNI (VNet-routable): pod IPs directly from VNet (pod subnet or node subnet), use when pods must be directly addressable from VNet or on-prem

Dataplane & Network Policy:

  • Azure CNI powered by Cilium (recommended): eBPF-based for high-performance packet processing, network policies, and observability

Egress:

  • Static Egress Gateway for stable, predictable outbound IPs
  • For restricted egress: UDR + Azure Firewall or NVA

Ingress:

  • App Routing addon with Gateway API — recommended default for HTTP/HTTPS workloads
  • Istio service mesh with Gateway API - for advanced traffic management, mTLS, canary releases
  • Application Gateway for Containers — for L7 load balancing with WAF integration

DNS:

  • Enable LocalDNS on all node pools for reliable, performant DNS resolution

3. Security

  • Use Microsoft Entra ID everywhere (control plane, Workload Identity for pods, node access). Avoid static credentials.
  • Azure Key Vault via Secrets Store CSI Driver for secrets
  • Enable Azure Policy + Deployment Safeguards
  • Enable Encryption at rest for etcd/API server; in-transit for node-to-node
  • Allow only signed, policy-approved images (Azure Policy + Ratify), prefer Azure Container Registry
  • Isolation: Use namespaces, network policies, scoped logging

4. Observability

  • Use Managed Prometheus and Container Insights with Grafana for AKS observability (logs + metrics).
  • Enable Diagnostic Settings to collect control plane logs and audit logs in a Log Analytics workspace for security monitoring and troubleshooting.
  • For other monitoring and troubleshooting tools, use features like the Agentic CLI for AKS, Application Insights, Resource Health Center, AppLens detectors, and Azure Advisors.

5. Upgrades & Patching

  • Configure Maintenance Windows for controlled upgrade timing
  • Enable auto-upgrades for control plane and node OS to stay up-to-date with security patches and Kubernetes versions
  • Consider LTS versions for enterprise stability (2-year support) by upgrading your AKS environment to the Premium tier
  • Fleet upgrades: Use AKS Fleet Manager for staged rollout across test to production environments

6. Performance

  • Use Ephemeral OS disks (--node-osdisk-type Ephemeral) for faster node startup
  • Select Azure Linux as node OS (smaller footprint, faster boot)
  • Enable KEDA for event-driven autoscaling beyond HPA

7. Node Pools & Compute

  • Dedicated system node pool: At least 2 nodes, tainted for system workloads only (CriticalAddonsOnly)
  • Enable Node Auto Provisioning (NAP) on all pools for cost savings and responsive scaling
  • Use latest generation SKUs (v5/v6) for host-level optimizations
  • Avoid B-series VMs — burstable SKUs cause performance/reliability issues
  • Use SKUs with at least 4 vCPUs for production workloads
  • Set topology spread constraints to distribute pods across hosts/zones per SLO

8. Reliability

  • Deploy across 3 Availability Zones (--zones 1 2 3)
  • Use Standard tier for zone-redundant control plane + 99.95% SLA for API server availability
  • Enable Microsoft Defender for Containers for runtime protection
  • Configure PodDisruptionBudgets for all production workloads
  • Use topology spread constraints to ensure pod distribution across failure domains

9. Cost Controls

  • Use Spot node pools for batch/interruptible workloads (up to 90% savings)
  • Stop/Start dev/test clusters: az aks stop/start
  • Consider Reserved Instances or Savings Plans for steady-state workloads

Deep-dive scenarios — load only the relevant reference file:

ScenarioTrigger KeywordsReference
Pod Rightsizingover-provisioned pods, CPU requests, memory requests, rightsize workloadsazure-aks-rightsizing.md
VPA Setupvertical pod autoscaler, VPA recommendations, VPA enableazure-aks-vpa.md
Cluster Autoscaleridle nodes, CAS off, enable autoscaler, scale-down profile, node utilizationazure-aks-autoscaler.md
Spot Node PoolsSpot VMs, Spot nodes, batch workloads, cheaper nodesazure-aks-spot.md

Disambiguation: If a prompt matches multiple rows (e.g., "cheaper nodes" could suggest both Spot and autoscaler), prefer the most specific match. If ambiguous, ask the user to clarify their intent before loading a reference file.

Guardrails / Safety

  • Do not request or output secrets (tokens, keys).
  • Do not ask the user to paste subscription IDs. Discover subscription and resource scope via MCP tools (e.g., list subscriptions, list resource groups) or az account show / az account list so the agent can resolve context without exposing identifiers.
  • If requirements are ambiguous for day-0 critical decisions, ask the user clarifying questions. For day-1 enabled features, propose 2–3 safe options with tradeoffs and choose a conservative default.
  • Do not promise zero downtime; advise workload safeguards (PDBs, probes, replicas) and staged upgrades along with best practices for reliability and performance.

MCP Tools

ToolPurposeKey Parameters
mcp_azure_mcp_aksAKS MCP entry point used to discover the exact AKS-specific tools exposed by the clientDiscover the callable AKS tool first, then use that tool's parameters

Error Handling

Error / SymptomLikely CauseRemediation
MCP tool call fails or times outInvalid credentials, subscription, or AKS contextVerify az login, confirm the active subscription context with az account show, and check the target resource group without echoing subscription identifiers back to the user
Quota exceededRegional vCPU or resource limitsRequest quota increase or select different region/VM SKU
Networking conflict (IP exhaustion)Pod subnet too small for overlay/CNIRe-plan IP ranges; may require cluster recreation (Day-0)
Workload Identity not workingMissing OIDC issuer or federated credentialEnable --enable-oidc-issuer --enable-workload-identity, configure federated identity

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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概要と使いどころ

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

日本語の概要は準備中です。原文の説明を表示しています。

microsoft/skills3,1012026年10月10日 更新

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".

日本語の概要は準備中です。原文の説明を表示しています。

microsoft/skills3,1012026年10月10日 更新

Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).

日本語の概要は準備中です。原文の説明を表示しています。

microsoft/skills3,1012026年10月10日 更新

Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zone capacity; OverconstrainedAllocationRequest with listed constraints; nested AKS vmssCSE/CSE VMExtensionError_OutboundConnFail, VMExtensionError_K8SAPIServerConnFail, or VMExtensionError_K8SAPIServerDNSLookupFail; or AllocationFailed with the full cataloged internal-error or insufficient-regional-capacity message. Never use for quota errors, code-only or bare wrappers, generic symptoms, incomplete signatures, or failures outside AKS; use aks-troubleshooting or azure-diagnostics.

日本語の概要は準備中です。原文の説明を表示しています。

microsoft/skills3,1012026年10月10日 更新

Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: "capture packets on an AKS node", "take a pcap", "run tcpdump on AKS", "prove where packets drop". Use for explicit packet-capture intent after read-only diagnostics, not general AKS connectivity or ingress troubleshooting.

日本語の概要は準備中です。原文の説明を表示しています。

microsoft/skills3,1012026年10月10日 更新

Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS or ingress failure, connectivity timeout, network policy, SNAT exhaustion, node-pool scaling blocked by QuotaExceeded or InsufficientVCPUQuota, upgrade stuck, spot or zone disruption, a bare VMExtensionProvisioningError or AllocationFailed wrapper, an uncataloged capacity symptom, or 'investigate my AKS cluster'. DO NOT USE FOR: packet capture (use aks-network-capture); GPU or model-serving issues (use aks-gpu-inference); cluster creation or provisioning (use azure-kubernetes); cost (use cost-analysis from the optional azure-cost plugin); pod rightsizing (use azure-kubernetes); a fully qualified documented AKS signature with every required nested qualifier (use aks-known-issues); standalone failures on non-AKS Azure resources (use azure-diagnostics). Unqualified errors and open-ended incidents stay here only for AKS.

日本語の概要は準備中です。原文の説明を表示しています。

microsoft/skills3,1012026年10月10日 更新

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