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Azure Kubernetes Service

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Plan and configure production-ready AKS clusters.

by microsoft1.4k stars on microsoft/azure-skills
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Updated Aug 10, 2026
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What Azure Kubernetes Service does

The Azure Kubernetes Service skill is designed to assist developers and operations teams in planning, creating, and configuring Azure Kubernetes Service (AKS) clusters tailored for production workloads. This skill emphasizes Day-0 decisions, which are critical for setting up the cluster's networking, API server access, and security configurations. By providing a structured approach to AKS cluster setup, it ensures that users can make informed choices that align with best practices and organizational requirements.

Users can leverage this skill when they need to design their AKS environment, including selecting the appropriate SKU—Automatic or Standard—based on their specific needs for control and convenience. The skill covers essential aspects such as identity management, governance through Azure Policy, and observability features like Container Insights and Grafana, enabling teams to maintain operational oversight of their clusters.

The skill also includes a comprehensive Day-0 checklist, guiding users through the necessary steps to ensure a robust and secure AKS deployment. It provides templates and references for various configurations, including networking options, security measures, and upgrade strategies, making it a valuable resource for anyone involved in deploying and managing applications on AKS.

In summary, this skill is ideal for teams looking to streamline their AKS cluster provisioning and configuration processes, ensuring that they adhere to industry standards and best practices while optimizing for performance and security.

When to use it

Use this skill when setting up a new AKS cluster or when planning its configuration for production workloads.

When not to use it

This skill is not suitable for deploying applications to an existing AKS cluster; use the `azure-kubernetes-app-deploy` skill for that purpose.

What you can build with it

Setting Up a New AKS Cluster

Use this skill to plan and provision a new AKS cluster, ensuring all Day-0 decisions align with best practices.

Configuring Networking for AKS

Leverage the skill to design networking options for your AKS cluster, including API server access and egress configurations.

Implementing Security Measures in AKS

Utilize this skill to set up security governance in your AKS environment, including identity management and policy enforcement.

How to install Azure Kubernetes Service

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1. Install with the skills CLI

npx skills add microsoft/azure-skills/azure-kubernetes --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by microsoft

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 (troubleshooting AKS), azure-validate (readiness checks), azure-kubernetes-automatic-readiness (migrate existing cluster to AKS Automatic)

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.

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

Frequently asked questions about Azure Kubernetes Service

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