Azure Kubernetes Service (AKS) Production Guide: Complete Enterprise Deployment

Azure Kubernetes Service (AKS) is Microsoft’s managed Kubernetes offering that simplifies deploying and managing containerized applications on Azure. This comprehensive guide covers everything needed to build and operate production-grade AKS clusters.

Why Choose Azure AKS?

Key Benefits

Fully Managed Control Plane: Azure manages Kubernetes control plane at no cost
Azure Integration: Native integration with Azure AD, ACR, Azure Monitor, Key Vault, and more
Enterprise Features: Virtual nodes, Azure Policy, Defender for Cloud integration
Cost Efficiency: Free control plane, pay only for worker nodes
Developer Tools: Seamless integration with Visual Studio, VS Code, and Azure DevOps
Hybrid Capabilities: Azure Arc for on-premises Kubernetes management

AKS vs. Other Managed Kubernetes

Feature	AKS	EKS	GKE
Control Plane Cost	Free	$0.10/hr	Free (Autopilot)
Upgrade Process	In-place	Rolling	Auto (Autopilot)
Windows Containers	Yes	Yes	No
Virtual Nodes	Yes (ACI)	Fargate	Autopilot
IDE Integration	Excellent	Good	Good

Getting Started with AKS

Architecture Overview

┌──────────────────────────────────────────────────────────────┐
│                    Azure Subscription                         │
│                                                                │
│  ┌─────────────────────────────────────────────────────────┐ │
│  │      AKS Control Plane (Azure Managed - Free)           │ │
│  │  ┌──────────┐  ┌──────────┐  ┌──────────┐             │ │
│  │  │   API    │  │   etcd   │  │Scheduler │             │ │
│  │  │ Server   │  │          │  │          │             │ │
│  │  └──────────┘  └──────────┘  └──────────┘             │ │
│  └─────────────────────────────────────────────────────────┘ │
│                             │                                  │
│  ┌──────────────────────────┼──────────────────────────────┐ │
│  │        Virtual Network    │                              │ │
│  │                           ▼                              │ │
│  │   ┌────────────────────────────────────────────────┐    │ │
│  │   │         Node Pools (Your Subscription)          │    │ │
│  │   │                                                  │    │ │
│  │   │  ┌─────────┐  ┌─────────┐  ┌─────────┐        │    │ │
│  │   │  │ Node 1  │  │ Node 2  │  │ Node 3  │        │    │ │
│  │   │  │ (AZ 1)  │  │ (AZ 2)  │  │ (AZ 3)  │        │    │ │
│  │   │  │         │  │         │  │         │        │    │ │
│  │   │  │┌───────┐│  │┌───────┐│  │┌───────┐│        │    │ │
│  │   │  ││ Pods  ││  ││ Pods  ││  ││ Pods  ││        │    │ │
│  │   │  │└───────┘│  │└───────┘│  │└───────┘│        │    │ │
│  │   │  └─────────┘  └─────────┘  └─────────┘        │    │ │
│  │   │                                                  │    │ │
│  │   │  ┌────────────────────────────────────┐        │    │ │
│  │   │  │   Virtual Nodes (Azure Container   │        │    │ │
│  │   │  │      Instances - Serverless)        │        │    │ │
│  │   │  └────────────────────────────────────┘        │    │ │
│  │   └────────────────────────────────────────────────┘    │ │
│  └──────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘

Prerequisites

Azure CLI 2.50+ installed
kubectl 1.28+ installed
Azure subscription with appropriate permissions
(Optional) Terraform or Bicep for infrastructure as code

Creating Your First AKS Cluster

Using Azure CLI (Quick Start)

# Create resource group
az group create \
  --name rg-aks-production \
  --location eastus

# Create AKS cluster
az aks create \
  --resource-group rg-aks-production \
  --name aks-production-cluster \
  --node-count 3 \
  --node-vm-size Standard_D4s_v5 \
  --enable-managed-identity \
  --enable-azure-rbac \
  --enable-aad \
  --enable-addons monitoring,azure-policy \
  --network-plugin azure \
  --network-policy azure \
  --zones 1 2 3 \
  --kubernetes-version 1.29.0 \
  --generate-ssh-keys

# Get credentials
az aks get-credentials \
  --resource-group rg-aks-production \
  --name aks-production-cluster

# Verify connection
kubectl get nodes

Using Terraform (Production Recommended)

terraform {
  required_version = ">= 1.6"
  required_providers {
    azurerm = {
      source  = "hashicorp/azurerm"
      version = "~> 3.80"
    }
  }
}

provider "azurerm" {
  features {}
}

# Resource Group
resource "azurerm_resource_group" "aks" {
  name     = "rg-aks-production"
  location = "East US"
}

# Virtual Network
resource "azurerm_virtual_network" "aks" {
  name                = "vnet-aks"
  location            = azurerm_resource_group.aks.location
  resource_group_name = azurerm_resource_group.aks.name
  address_space       = ["10.0.0.0/16"]
}

# Subnet for AKS nodes
resource "azurerm_subnet" "aks_nodes" {
  name                 = "snet-aks-nodes"
  resource_group_name  = azurerm_resource_group.aks.name
  virtual_network_name = azurerm_virtual_network.aks.name
  address_prefixes     = ["10.0.1.0/24"]
}

# Subnet for AKS pods (Azure CNI)
resource "azurerm_subnet" "aks_pods" {
  name                 = "snet-aks-pods"
  resource_group_name  = azurerm_resource_group.aks.name
  virtual_network_name = azurerm_virtual_network.aks.name
  address_prefixes     = ["10.0.64.0/18"]

  delegation {
    name = "aks-delegation"
    service_delegation {
      name    = "Microsoft.ContainerService/managedClusters"
      actions = ["Microsoft.Network/virtualNetworks/subnets/join/action"]
    }
  }
}

# Log Analytics Workspace
resource "azurerm_log_analytics_workspace" "aks" {
  name                = "log-aks-production"
  location            = azurerm_resource_group.aks.location
  resource_group_name = azurerm_resource_group.aks.name
  sku                 = "PerGB2018"
  retention_in_days   = 30
}

# AKS Cluster
resource "azurerm_kubernetes_cluster" "aks" {
  name                = "aks-production-cluster"
  location            = azurerm_resource_group.aks.location
  resource_group_name = azurerm_resource_group.aks.name
  dns_prefix          = "aks-prod"
  kubernetes_version  = "1.29.0"

  # Automatically upgrade to latest patch version
  automatic_channel_upgrade = "patch"

  # Network Profile
  network_profile {
    network_plugin      = "azure"
    network_policy      = "azure"
    dns_service_ip      = "10.0.128.10"
    service_cidr        = "10.0.128.0/18"
    load_balancer_sku   = "standard"
    outbound_type       = "loadBalancer"
  }

  # Default Node Pool (System)
  default_node_pool {
    name                = "system"
    node_count          = 3
    vm_size             = "Standard_D4s_v5"
    os_disk_size_gb     = 128
    os_disk_type        = "Ephemeral"
    vnet_subnet_id      = azurerm_subnet.aks_nodes.id
    pod_subnet_id       = azurerm_subnet.aks_pods.id
    zones               = [1, 2, 3]
    enable_auto_scaling = true
    min_count           = 3
    max_count           = 10
    max_pods            = 50

    upgrade_settings {
      max_surge = "33%"
    }

    node_labels = {
      "workload-type" = "system"
    }

    tags = {
      Environment = "Production"
    }
  }

  # Identity
  identity {
    type = "SystemAssigned"
  }

  # Azure AD Integration
  azure_active_directory_role_based_access_control {
    managed                = true
    azure_rbac_enabled     = true
    admin_group_object_ids = [var.aks_admin_group_id]
  }

  # Add-ons
  oms_agent {
    log_analytics_workspace_id = azurerm_log_analytics_workspace.aks.id
  }

  azure_policy_enabled = true

  key_vault_secrets_provider {
    secret_rotation_enabled  = true
    secret_rotation_interval = "2m"
  }

  # Enable Workload Identity
  workload_identity_enabled = true
  oidc_issuer_enabled       = true

  # Maintenance Windows
  maintenance_window_auto_upgrade {
    frequency   = "Weekly"
    interval    = 1
    duration    = 4
    day_of_week = "Sunday"
    start_time  = "02:00"
    utc_offset  = "+00:00"
  }

  maintenance_window_node_os {
    frequency   = "Weekly"
    interval    = 1
    duration    = 4
    day_of_week = "Sunday"
    start_time  = "02:00"
    utc_offset  = "+00:00"
  }

  tags = {
    Environment = "Production"
    ManagedBy   = "Terraform"
  }
}

# User Node Pool - General Purpose
resource "azurerm_kubernetes_cluster_node_pool" "user_general" {
  name                  = "general"
  kubernetes_cluster_id = azurerm_kubernetes_cluster.aks.id
  vm_size               = "Standard_D4s_v5"
  node_count            = 3
  os_disk_size_gb       = 128
  os_disk_type          = "Ephemeral"
  vnet_subnet_id        = azurerm_subnet.aks_nodes.id
  pod_subnet_id         = azurerm_subnet.aks_pods.id
  zones                 = [1, 2, 3]
  enable_auto_scaling   = true
  min_count             = 3
  max_count             = 20
  max_pods              = 50

  node_labels = {
    "workload-type" = "general"
  }

  tags = {
    Environment = "Production"
  }
}

# User Node Pool - Memory Optimized
resource "azurerm_kubernetes_cluster_node_pool" "user_memory" {
  name                  = "memory"
  kubernetes_cluster_id = azurerm_kubernetes_cluster.aks.id
  vm_size               = "Standard_E8s_v5"
  node_count            = 2
  enable_auto_scaling   = true
  min_count             = 2
  max_count             = 10
  vnet_subnet_id        = azurerm_subnet.aks_nodes.id
  pod_subnet_id         = azurerm_subnet.aks_pods.id
  zones                 = [1, 2, 3]

  node_labels = {
    "workload-type" = "memory-intensive"
  }

  node_taints = [
    "workload-type=memory-intensive:NoSchedule"
  ]

  tags = {
    Environment = "Production"
  }
}

# User Node Pool - Spot Instances
resource "azurerm_kubernetes_cluster_node_pool" "user_spot" {
  name                  = "spot"
  kubernetes_cluster_id = azurerm_kubernetes_cluster.aks.id
  vm_size               = "Standard_D4s_v5"
  priority              = "Spot"
  eviction_policy       = "Delete"
  spot_max_price        = -1  # Pay up to on-demand price
  node_count            = 3
  enable_auto_scaling   = true
  min_count             = 1
  max_count             = 20
  vnet_subnet_id        = azurerm_subnet.aks_nodes.id
  pod_subnet_id         = azurerm_subnet.aks_pods.id

  node_labels = {
    "workload-type"      = "spot"
    "kubernetes.azure.com/scalesetpriority" = "spot"
  }

  node_taints = [
    "kubernetes.azure.com/scalesetpriority=spot:NoSchedule"
  ]

  tags = {
    Environment = "Production"
  }
}

# Azure Container Registry
resource "azurerm_container_registry" "acr" {
  name                = "acrproduction${random_string.suffix.result}"
  resource_group_name = azurerm_resource_group.aks.name
  location            = azurerm_resource_group.aks.location
  sku                 = "Premium"
  admin_enabled       = false

  georeplications {
    location = "West US"
    tags     = {}
  }

  network_rule_set {
    default_action = "Deny"

    ip_rule {
      action   = "Allow"
      ip_range = "0.0.0.0/0"  # Replace with your IP ranges
    }
  }
}

# Grant AKS access to ACR
resource "azurerm_role_assignment" "aks_acr" {
  principal_id                     = azurerm_kubernetes_cluster.aks.kubelet_identity[0].object_id
  role_definition_name             = "AcrPull"
  scope                            = azurerm_container_registry.acr.id
  skip_service_principal_aad_check = true
}

resource "random_string" "suffix" {
  length  = 8
  special = false
  upper   = false
}

# Outputs
output "cluster_name" {
  value = azurerm_kubernetes_cluster.aks.name
}

output "kube_config" {
  value     = azurerm_kubernetes_cluster.aks.kube_config_raw
  sensitive = true
}

output "oidc_issuer_url" {
  value = azurerm_kubernetes_cluster.aks.oidc_issuer_url
}

Azure-Specific Integrations

1. Azure Active Directory Integration

Workload Identity (Recommended)

# Already enabled in Terraform with:
# workload_identity_enabled = true
# oidc_issuer_enabled = true

# Create Azure AD application
APP_NAME="aks-workload-identity"
APP_ID=$(az ad app create --display-name $APP_NAME --query appId -o tsv)

# Create service principal
SP_ID=$(az ad sp create --id $APP_ID --query id -o tsv)

# Create Kubernetes service account
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: ServiceAccount
metadata:
  name: workload-identity-sa
  namespace: default
  annotations:
    azure.workload.identity/client-id: $APP_ID
EOF

# Create federated credential
AKS_OIDC_ISSUER=$(az aks show \
  --resource-group rg-aks-production \
  --name aks-production-cluster \
  --query oidcIssuerProfile.issuerUrl -o tsv)

az ad app federated-credential create \
  --id $APP_ID \
  --parameters '{
    "name": "kubernetes-federated-credential",
    "issuer": "'$AKS_OIDC_ISSUER'",
    "subject": "system:serviceaccount:default:workload-identity-sa",
    "audiences": ["api://AzureADTokenExchange"]
  }'

# Grant permissions (example: Key Vault access)
KEYVAULT_NAME="kv-production"
az keyvault set-policy \
  --name $KEYVAULT_NAME \
  --spn $APP_ID \
  --secret-permissions get list

# Use workload identity in deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: workload-identity-demo
spec:
  replicas: 3
  selector:
    matchLabels:
      app: workload-identity-demo
  template:
    metadata:
      labels:
        app: workload-identity-demo
        azure.workload.identity/use: "true"
    spec:
      serviceAccountName: workload-identity-sa
      containers:
      - name: app
        image: myapp:latest
        env:
        - name: AZURE_CLIENT_ID
          value: "$APP_ID"
        - name: AZURE_TENANT_ID
          value: "your-tenant-id"

2. Azure Key Vault Integration

Using CSI Secret Store Driver

# Install CSI Secret Store Driver (if not using add-on)
helm repo add csi-secrets-store-provider-azure https://azure.github.io/secrets-store-csi-driver-provider-azure/charts
helm install csi-secrets-store-provider-azure/csi-secrets-store-provider-azure \
  --generate-name \
  --namespace kube-system

# SecretProviderClass
apiVersion: secrets-store.csi.x-k8s.io/v1
kind: SecretProviderClass
metadata:
  name: azure-keyvault-secrets
  namespace: default
spec:
  provider: azure
  parameters:
    usePodIdentity: "false"
    useVMManagedIdentity: "false"
    clientID: "$APP_ID"  # From workload identity
    keyvaultName: "kv-production"
    cloudName: ""
    objects: |
      array:
        - |
          objectName: database-username
          objectType: secret
          objectVersion: ""
        - |
          objectName: database-password
          objectType: secret
          objectVersion: ""
    tenantId: "your-tenant-id"
  secretObjects:
  - secretName: database-credentials
    type: Opaque
    data:
    - objectName: database-username
      key: username
    - objectName: database-password
      key: password
---
# Use in deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: app-with-secrets
spec:
  replicas: 3
  selector:
    matchLabels:
      app: app-with-secrets
  template:
    metadata:
      labels:
        app: app-with-secrets
        azure.workload.identity/use: "true"
    spec:
      serviceAccountName: workload-identity-sa
      containers:
      - name: app
        image: myapp:latest
        volumeMounts:
        - name: secrets-store
          mountPath: "/mnt/secrets"
          readOnly: true
        env:
        - name: DB_USERNAME
          valueFrom:
            secretKeyRef:
              name: database-credentials
              key: username
        - name: DB_PASSWORD
          valueFrom:
            secretKeyRef:
              name: database-credentials
              key: password
      volumes:
      - name: secrets-store
        csi:
          driver: secrets-store.csi.k8s.io
          readOnly: true
          volumeAttributes:
            secretProviderClass: "azure-keyvault-secrets"

3. Azure Load Balancer and Application Gateway

Public Load Balancer Service

apiVersion: v1
kind: Service
metadata:
  name: web-app-lb
  annotations:
    service.beta.kubernetes.io/azure-load-balancer-resource-group: "rg-aks-production"
    service.beta.kubernetes.io/azure-pip-name: "pip-web-app"
    service.beta.kubernetes.io/azure-dns-label-name: "myapp"
spec:
  type: LoadBalancer
  selector:
    app: web-app
  ports:
  - port: 80
    targetPort: 8080
    protocol: TCP

Application Gateway Ingress Controller (AGIC)

# Install AGIC using Helm
helm repo add application-gateway-kubernetes-ingress \
  https://appgwingress.blob.core.windows.net/ingress-azure-helm-package/
helm install ingress-azure \
  application-gateway-kubernetes-ingress/ingress-azure \
  --namespace default \
  --set appgw.subscriptionId=$SUBSCRIPTION_ID \
  --set appgw.resourceGroup=rg-aks-production \
  --set appgw.name=appgw-aks \
  --set armAuth.type=workloadIdentity \
  --set armAuth.identityClientID=$APP_ID

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: web-app-ingress
  annotations:
    kubernetes.io/ingress.class: azure/application-gateway
    appgw.ingress.kubernetes.io/ssl-redirect: "true"
    appgw.ingress.kubernetes.io/backend-protocol: "http"
    appgw.ingress.kubernetes.io/cookie-based-affinity: "true"
    appgw.ingress.kubernetes.io/request-timeout: "30"
spec:
  tls:
  - secretName: web-app-tls
    hosts:
    - app.example.com
  rules:
  - host: app.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: web-app
            port:
              number: 80

4. Azure Storage Integration

Azure Disk (Persistent Volumes)

# StorageClass for Premium SSD
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: managed-premium-ssd
provisioner: disk.csi.azure.com
parameters:
  skuname: Premium_LRS
  kind: Managed
  cachingmode: ReadOnly
reclaimPolicy: Delete
volumeBindingMode: WaitForFirstConsumer
allowVolumeExpansion: true
---
# PersistentVolumeClaim
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: postgres-data
spec:
  accessModes:
  - ReadWriteOnce
  storageClassName: managed-premium-ssd
  resources:
    requests:
      storage: 100Gi

Azure Files (Shared Storage)

# StorageClass for Azure Files
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: azurefile-premium
provisioner: file.csi.azure.com
parameters:
  skuName: Premium_LRS
  location: eastus
  resourceGroup: rg-aks-production
reclaimPolicy: Delete
volumeBindingMode: Immediate
allowVolumeExpansion: true
mountOptions:
  - dir_mode=0777
  - file_mode=0777
  - uid=0
  - gid=0
  - mfsymlinks
  - cache=strict
  - actimeo=30
---
# PersistentVolumeClaim for shared storage
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: shared-storage
spec:
  accessModes:
  - ReadWriteMany
  storageClassName: azurefile-premium
  resources:
    requests:
      storage: 100Gi

5. Virtual Nodes (Azure Container Instances)

# Enable virtual nodes
az aks enable-addons \
  --resource-group rg-aks-production \
  --name aks-production-cluster \
  --addons virtual-node \
  --subnet-name snet-virtual-nodes

# Deploy to virtual nodes for burst capacity
apiVersion: apps/v1
kind: Deployment
metadata:
  name: burst-workload
spec:
  replicas: 10
  selector:
    matchLabels:
      app: burst-workload
  template:
    metadata:
      labels:
        app: burst-workload
    spec:
      nodeSelector:
        kubernetes.io/role: agent
        type: virtual-kubelet
      tolerations:
      - key: virtual-kubelet.io/provider
        operator: Exists
      containers:
      - name: app
        image: nginx
        resources:
          requests:
            cpu: 500m
            memory: 1Gi

Monitoring and Observability

Azure Monitor Container Insights

# Already enabled with Terraform oms_agent add-on

# View metrics in Azure Portal or query with CLI
az monitor metrics list \
  --resource /subscriptions/$SUBSCRIPTION_ID/resourceGroups/rg-aks-production/providers/Microsoft.ContainerService/managedClusters/aks-production-cluster \
  --metric "node_cpu_usage_percentage"

Prometheus and Grafana on AKS

# Install kube-prometheus-stack
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm install kube-prometheus-stack prometheus-community/kube-prometheus-stack \
  --namespace monitoring \
  --create-namespace \
  --set prometheus.prometheusSpec.storageSpec.volumeClaimTemplate.spec.storageClassName=managed-premium-ssd \
  --set prometheus.prometheusSpec.storageSpec.volumeClaimTemplate.spec.resources.requests.storage=50Gi \
  --set grafana.persistence.enabled=true \
  --set grafana.persistence.storageClassName=managed-premium-ssd \
  --set grafana.persistence.size=10Gi \
  --set grafana.ingress.enabled=true \
  --set grafana.ingress.ingressClassName=azure-application-gateway \
  --set grafana.ingress.hosts[0]=grafana.example.com

Security Best Practices

1. Azure Policy for AKS

# Azure Policy is already enabled in Terraform
# View built-in policy initiatives
az policy set-definition list --query "[?contains(displayName, 'Kubernetes')]" -o table

# Assign Kubernetes cluster pod security baseline standards
az policy assignment create \
  --name "aks-pod-security-baseline" \
  --scope "/subscriptions/$SUBSCRIPTION_ID/resourceGroups/rg-aks-production" \
  --policy-set-definition "/providers/Microsoft.Authorization/policySetDefinitions/a8640138-9b0a-4a28-b8cb-1666c838647d"

2. Microsoft Defender for Containers

# Enable Defender for Containers
az security pricing create \
  --name Containers \
  --tier Standard

3. Network Security

# Network Policy (Azure CNI Network Policy)
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: deny-all-ingress
  namespace: production
spec:
  podSelector: {}
  policyTypes:
  - Ingress
---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: allow-web-app
  namespace: production
spec:
  podSelector:
    matchLabels:
      app: web-app
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          app: ingress-controller
    ports:
    - protocol: TCP
      port: 8080
  egress:
  - to:
    - podSelector:
        matchLabels:
          app: database
    ports:
    - protocol: TCP
      port: 5432

Cost Optimization

1. Cluster Autoscaler

# Already configured in Terraform with enable_auto_scaling
# Verify autoscaler is running
kubectl get deployment -n kube-system cluster-autoscaler

2. Spot Node Pools

Already configured in Terraform. Deploy fault-tolerant workloads:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: batch-processor
spec:
  replicas: 10
  selector:
    matchLabels:
      app: batch-processor
  template:
    metadata:
      labels:
        app: batch-processor
    spec:
      nodeSelector:
        workload-type: spot
      tolerations:
      - key: kubernetes.azure.com/scalesetpriority
        operator: Equal
        value: spot
        effect: NoSchedule
      containers:
      - name: processor
        image: batch-processor:latest

3. Azure Advisor Recommendations

# Get cost optimization recommendations
az advisor recommendation list \
  --category Cost \
  --query "[?contains(impactedValue, 'aks-production-cluster')]"

Production Checklist

Infrastructure

Multi-zone cluster deployment
VNet with proper subnet sizing
Azure AD integration configured
Diagnostic settings enabled
Multiple node pools configured

Security

Workload identity enabled
Azure Policy configured
Defender for Containers enabled
Network policies enforced
Key Vault integration configured
Private cluster endpoint (if needed)

Networking

Application Gateway or Load Balancer configured
Azure CNI with proper IP planning
Network policies configured
Azure DNS or External DNS setup

Storage

Azure Disk CSI driver enabled
Azure Files provisioner configured
Storage classes defined
Backup strategy implemented

Monitoring

Container Insights enabled
Prometheus and Grafana deployed
Application Insights integrated
Alert rules configured

Operations

Automated upgrade schedule configured
Cluster autoscaler enabled
Spot instances for appropriate workloads
Disaster recovery plan documented
GitOps pipeline configured

Conclusion

Azure Kubernetes Service provides a comprehensive, enterprise-ready platform for running containerized workloads on Azure. With deep Azure integration, robust security features, and excellent tooling support, AKS is an excellent choice for organizations already invested in the Azure ecosystem.

Success with AKS requires understanding both Kubernetes fundamentals and Azure-specific features. Start with a solid foundation, leverage Azure-native services, and continuously optimize for security, reliability, and cost.

Ready to master Azure Kubernetes Service? Our Azure training programs cover AKS from basics to advanced enterprise patterns. Contact us for customized training designed for your team.